LLM Jobs in Poland.
All active LLM roles based in Poland.
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AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Senior ML-Engineer
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Highlights:
Role: Senior ML-Engineer
Location: Poland, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer, Finance
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Highlights:
Role: Senior ML-Engineer, Finance
Location: Poland, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML Engineer - Kimchi (LLM Inference Optimization)
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Developer Relations Engineer - Kimchi
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.
Responsibilities:
- Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
- Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
- Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team.
- Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
- Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
- Identify where new users get stuck and advocate hard for fixes
- Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market
Requirements:
- You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
- You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
- You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
- Huge plus: You'd have tested and found problems Kimchi solves interesting - before this job posting even existed
- Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling
What’s in it for you?
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Python Developer (IoT sphere)
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Company Background
Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.
Project Description
AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.
Technologies
- Python
- FastAPI
- AWS
- Docker
- Kubernetes
- CI/CD
- LLM / Generative AI
- vLLM
- Kafka / RabbitMQ
What You'll Do
- Design and implement a rules engine platform as part of the AI microservices ecosystem;
- Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
- Develop robust, maintainable, and scalable Python microservices;
- Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
- Work with containerization (Docker) and orchestration (Kubernetes) for deployment.
Job Requirements
- 4+ years of experience with Python;
- Experience building rules engines or similar business logic platforms;
- Experience with FastAPI or similar frameworks;
- Experience with Docker, Kubernetes, and CI/CD pipelines;
- Experience working with AWS (EKS, SQS, S3, EC2, MSK);
- Strong software engineering fundamentals and clean code practices;
- Basic experience with LLMs and tools like vLLM;
- Strong communication skills;
- English proficiency at B2 level or higher;
Nice to Have:
- Background in AI/ML platforms or agent frameworks;
- Familiarity with messaging systems (RabbitMQ, Kafka);
- Understanding of concurrent programming;
- Exposure to Amazon Bedrock;
- Familiarity with observability tools (OpenTelemetry, DataDog);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Senior Localization Program Manager
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Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end-to-end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
The service provider will contribute to the evolution of HelloFresh’s global reach by optimizing how digital products are adapted for international markets. This project scope involves the strategic alignment of UX localization with global business objectives, ensuring that the digital experience feels native to millions of users across 16 countries and six distinct brands. As an external expert, you will provide the technical and operational framework necessary to integrate localization seamlessly into the product development lifecycle, utilizing cutting-edge AI automation to drive efficiency and quality.
What you’ll do: The Recipe
- Refine UX Localization strategy: Collaborate with the Head of Content Design & Localization (primary stakeholder) to provide a specialized framework for localizing UX content in line with global goals.
- Manage the Localization process: Lead the end-to-end service delivery for UX content localization, ensuring high-quality, culturally appropriate outputs from external copywriters and agencies.
- Build AI-enabled localization workflows: Design and implement automated processes, including machine translation integration, LLM-assisted reviews, and automated QA checks to improve scalability
- Cross-functional collaboration: Provide technical guidance to product managers, engineers, and designers to ensure localization requirements are integrated into early-stage product discovery and campaign development.
- Vendor Management: Act as the primary point of contact for external translation vendors, ensuring service level agreements (SLAs) and quality standards are met.
- Process Optimization: Conduct regular audits of localization workflows within tools like Lokalise and Jira to improve delivery speed and resource efficiency.
- Quality Assurance: Establish rigorous testing systems for live environments to ensure linguistic accuracy and a consistent user experience across all supported languages.
- Knowledge Sharing: Provide expertise and advocacy for localization best practices across HelloTech to increase organizational maturity regarding global product standards.
What you’ll bring: The Ingredients
- Extensive experience leading localization programs for high-growth consumer products.
- Strong project management skills with demonstrated experience using Jira and localization tools like Lokalise.
- Proven experience in managing professional service delivery from translators and translation agencies.
- Demonstrated ability to manage multiple stakeholders and optimize complex localization processes.
- Deep understanding of cultural adaptation and internationalization (i18n) best practices.
- Bachelor’s degree in a relevant field; fluency in English is mandatory, while additional language proficiency is a significant plus.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing. Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations. Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup. End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability. Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#PRODUCT
#DESIGN
Ready to apply?
Apply to HelloFresh
Backend Engineer
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Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Backend Engineer
Share this job
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Backend Engineer
Share this job
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Backend Engineer
Share this job
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Backend Engineer
Share this job
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Backend Engineer
Share this job
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Backend Engineer
Share this job
Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with Bun and Express
- GitHub Actions and IaC
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
Senior Software Engineer (Python)
Share this job
We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
What You’ll Do:
- Design, build, and maintain internal applications, automations, and AI-powered workflows
- Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
- Build user-facing tools and dashboards using React
- Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
- Partner with data scientists to productionize prototypes and analytical solutions
- Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
- Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
- Identify opportunities to automate repetitive work and streamline internal processes
- Establish engineering best practices for code quality, system design, CI/CD, and documentation
- Mentor other engineers and help raise the overall engineering bar of the team
What You Bring:
- 7+ years of software engineering experience, with strong experience building production systems
- Strong backend engineering skills, ideally in Python
- Experience building modern web applications with React
- Experience designing and consuming APIs, integrating third-party services, and building automation workflows
- Solid understanding of software architecture, system design, and scalable application development
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Experience with containers, deployment pipelines, and engineering best practices in production environments
- Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
- Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
- Strong communication skills and the ability to work directly with technical and non-technical stakeholders
- Proven ability to move from ambiguous business needs to working software
Nice to Have:
- Experience with workflow orchestration and automation tooling
- Experience building internal tools, sales enablement systems, or operational platforms
- Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
- Experience with asynchronous processing, task queues, and event-driven systems
- Exposure to analytics, experimentation, or collaboration with data science / ML teams
- Familiarity with Postgres and other common data storage technologies
- Experience with observability, monitoring, and production support
- Background in SaaS, enterprise platforms, or customer-facing solution engineering
English level:
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Software Engineer (Python)
Share this job
We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
What You’ll Do:
- Design, build, and maintain internal applications, automations, and AI-powered workflows
- Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
- Build user-facing tools and dashboards using React
- Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
- Partner with data scientists to productionize prototypes and analytical solutions
- Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
- Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
- Identify opportunities to automate repetitive work and streamline internal processes
- Establish engineering best practices for code quality, system design, CI/CD, and documentation
- Mentor other engineers and help raise the overall engineering bar of the team
What You Bring:
- 7+ years of software engineering experience, with strong experience building production systems
- Strong backend engineering skills, ideally in Python
- Experience building modern web applications with React
- Experience designing and consuming APIs, integrating third-party services, and building automation workflows
- Solid understanding of software architecture, system design, and scalable application development
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Experience with containers, deployment pipelines, and engineering best practices in production environments
- Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
- Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
- Strong communication skills and the ability to work directly with technical and non-technical stakeholders
- Proven ability to move from ambiguous business needs to working software
Nice to Have:
- Experience with workflow orchestration and automation tooling
- Experience building internal tools, sales enablement systems, or operational platforms
- Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
- Experience with asynchronous processing, task queues, and event-driven systems
- Exposure to analytics, experimentation, or collaboration with data science / ML teams
- Familiarity with Postgres and other common data storage technologies
- Experience with observability, monitoring, and production support
- Background in SaaS, enterprise platforms, or customer-facing solution engineering
English level:
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Software Engineer (Python)
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We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
What You’ll Do:
- Design, build, and maintain internal applications, automations, and AI-powered workflows
- Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
- Build user-facing tools and dashboards using React
- Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
- Partner with data scientists to productionize prototypes and analytical solutions
- Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
- Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
- Identify opportunities to automate repetitive work and streamline internal processes
- Establish engineering best practices for code quality, system design, CI/CD, and documentation
- Mentor other engineers and help raise the overall engineering bar of the team
What You Bring:
- 7+ years of software engineering experience, with strong experience building production systems
- Strong backend engineering skills, ideally in Python
- Experience building modern web applications with React
- Experience designing and consuming APIs, integrating third-party services, and building automation workflows
- Solid understanding of software architecture, system design, and scalable application development
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Experience with containers, deployment pipelines, and engineering best practices in production environments
- Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
- Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
- Strong communication skills and the ability to work directly with technical and non-technical stakeholders
- Proven ability to move from ambiguous business needs to working software
Nice to Have:
- Experience with workflow orchestration and automation tooling
- Experience building internal tools, sales enablement systems, or operational platforms
- Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
- Experience with asynchronous processing, task queues, and event-driven systems
- Exposure to analytics, experimentation, or collaboration with data science / ML teams
- Familiarity with Postgres and other common data storage technologies
- Experience with observability, monitoring, and production support
- Background in SaaS, enterprise platforms, or customer-facing solution engineering
English level:
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Associate AI Engineer
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Associate AI Engineer
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
What you'll be doing
- Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities.
- Develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions.
- Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features.
- Design and deliver complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability.
- Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences.
- Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications.
- Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases.
- Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services.
- Participate in technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution.
- Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready.
- Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency.
- Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.
What you'll bring to the role
- 3+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems.
- Expertise in backend and application development using Python or Java, JavaScript or TypeScript, with the ability to build production-grade, scalable software systems.
- Strong experience designing and building cloud-native solutions on AWS, including services such as Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security.
- Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks.
- Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns.
- Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture.
- Experience with CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset.
- Working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution.
- Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences.
Nice to have
- Hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows.
- Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications.
- Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
- Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior.
- Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes .
- Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures.
- Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements.
What we value
- Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team.
- Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence.
- AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies.
- Ownership mindset, taking responsibility from idea to implementation to operational success.
- Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions.
- Customer focus, with the ability to connect technical solutions to better customer and business outcomes.
Why join us
- Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology.
- Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience.
- Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms.
- Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies.
- Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform.
(P20321_3423426)
- #LI-Remote
Below is the annual salary range for candidates located in Poland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/pol.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Frontend Product Software Engineer, Design Systems
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Role Description
We are looking for a Software Engineer to join our Design Systems team who will help define and build the next generation of how designers and engineers at Dropbox create products, spanning UI infrastructure, design systems, and AI-native development workflows. You will evolve our design system, build intelligent tooling, and integrate AI agents into the design-to-code lifecycle to improve speed, quality, and consistency.
This role blends foundational front-end engineering with AI-assisted and agent-driven workflows. You will work on scalable component architecture, design system governance, AI-powered developer tooling, and automation of design and engineering handoffs. Your work will directly influence how products are built across Dropbox.
You will play a crucial part in shaping how AI transforms product development. You will gain deep exposure to senior leadership, contribute to high-impact platform investments, and help define new ways of working at the intersection of design, engineering, and machine intelligence.
We are looking for a tinkerer at heart, someone who experiments, iterates, and pushes beyond conventional solutions. You approach emerging technologies, particularly AI and automation, as practical tools to reimagine workflows and unlock new capabilities. You bring curiosity, resilience, and a bias toward action, with the discipline to turn ambiguous ideas into production-ready systems others can rely on.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
- Develop, maintain, and evolve UI components and primitives that power Dropbox’s design system, enabling scalable and consistent product development.
- Design and build AI-powered tooling and agent-driven workflows that accelerate design-to-code processes and improve developer productivity.
- Partner closely with designers to translate design intent into high-quality, reusable code, while also shaping how AI can assist or automate parts of this workflow.
- Contribute to the architecture and strategy of AI-native UX development, including the integration of LLMs, agents, and automation into internal tooling.
- Prototype and productionize new concepts that explore the future of design systems.
- Ensure accessibility and inclusivity by embedding WCAG standards and best practices into both components and AI-assisted workflows.
- Write clear, scalable documentation for both human and AI consumers (e.g., enabling agents to effectively use the design system).
- Collaborate in code reviews, design critiques, and technical discussions to continuously raise the quality bar.
- Troubleshoot and resolve issues from internal teams, improving system reliability and usability.
- Drive experimentation and evaluation of emerging AI technologies, translating insights into practical improvements in tooling and workflows.
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 5+ years of experience in front-end development, including experience contributing to or maintaining a design system or shared UI platform.
- Strong proficiency in HTML, CSS, and JavaScript, with deep experience in modern frameworks (e.g., React) and component-driven development.
- Demonstrated experience building scalable, maintainable front-end architecture for complex applications.
- Hands-on experience integrating or building with AI/ML-powered tools (e.g., LLM APIs, agent frameworks, or automation pipelines) in a development workflow.
- Solid understanding of accessibility standards (WCAG, ARIA) and how to implement them in reusable systems.
- Proven ability to collaborate effectively with cross-functional partners (design, product, engineering) and communicate technical concepts clearly.
Preferred Qualifications
- Experience designing or building AI-native developer tools, agent-based systems, or generative UI workflows.
- Track record of contributing to large-scale design systems or platform teams in fast-paced environments.
- Familiarity with prompt engineering, evaluation of LLM outputs, or designing systems that leverage AI for code generation or transformation.
- Experience with CI/CD pipelines, package publishing, and tooling that supports scalable design system distribution.
- Strong understanding of testing strategies (unit, visual, integration) for UI systems and component libraries.
Ready to apply?
Apply to Dropbox
GPU Performance Engineer
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What You’ll Do:
The GPU Performance Team is responsible for the automated testing and verification of CoreWeave’s ever-expanding fleet of nodes and infrastructure. The team plays a critical role in ensuring that the hardware we deliver to customers is stable and performant throughout its lifecycle.
About the role:
We are seeking a Senior Software Engineer to join the GPU Performance team to help us build and refine our automation platforms and workflows for reliability, efficiency, scalability and observability. This individual will join a team of Golang and Python developers innovating kubernetes-based solutions to hardware performance testing. As a member of the GPU Performance team, you would have the opportunity to:
- Design and Implement solutions for testing infrastructure at scale through automation.
- Develop platforms, workflows, data structures, API endpoints, and other testing management tools and capabilities.
- Create test plans, deployment automation, dashboards, alerts, and insights into our performance testing platform.
- Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.
Who You Are:
You are a software engineer with a strong bias toward reliability, automation, and scale. You’re comfortable owning services end‑to‑end and working close to hardware, but your primary tools are Go or Python, Kubernetes, and well‑designed APIs.
- Have experience building and maintaining backend services and APIs (REST/gRPC) and are comfortable integrating with infrastructure systems (Kubernetes, CI/CD, telemetry, metrics backends).
- Are motivated by automation at scale: you’d rather design a controller, workflow, or platform than run one‑off tests by hand.
- Are familiar with system metrics, performance, and health (e.g., GPU/CPU, network, storage, or similar infra) and know how to turn raw metrics into dashboards, alerts, and actionable insights.
- Are comfortable designing and implementing performance tests and validation workflows that run across many nodes and clusters.
- Care about code quality, observability, and operational readiness: logs, metrics, tracing, alerting, and on‑call are part of how you think about building systems.
- Are willing to participate in an on‑call rotation and help own the stability of the platforms you build.
- Work well in a collaborative, curious, and feedback‑driven team: you invest in your teammates, share ideas openly, and are excited to help shape how CoreWeave validates hardware performance at fleet scale.
Preferred:
- Write and maintain Kubernetes custom controllers and operators to automate infrastructure testing.
- Contributions to OSS projects such as llm-d, vLLM, or PyTorch
- Exposure to benchmarking large GPU fleets or multi-region clusters.
- Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies.
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is zł321,000 to zł535,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
We are looking for a Senior Python Engineer (AI & Cloud) to join a high-impact agile Task Force. You will be responsible for industrializing a Generative AI solution for a major French healthcare corporation, moving from POC to a production-ready MVP.
You will thrive in this role if you are:
- A Python & Cloud Expert: You have a strong command of GCP (Vertex AI) and integrating LLMs (Gemini, RAG architectures)
- A Precision-Oriented Developer: You can handle high-security constraints (HDS/GDPR) and complex data pipelines with a focus on accuracy (>90%)
- A Practical Innovator: You enjoy turning cutting-edge AI (Voice AI, NLU) into reliable industrial services
- A Collaborator: You value teamwork and knowledge-sharing within a cross-functional squad of Data and Salesforce experts.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- Deep understanding of Python internals, concurrency (asyncio), and design patterns
- Experience in building scalable and secure RESTful or GraphQL APIs
- Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) to ensure automated testing and seamless deployment
- Experience with system integrations and data processing
- Hands-on experience with AI / LLM uses cases
- Experience with API frameworks: FastAPI or Flask (Django not required)
- Cloud experience required: preferably GCP, but AWS is acceptable
- Understanding of cloud deployment patterns
- Teamwork experience
- Proactive, collaborative mindset, quick learner
- Good English communication skills (reading, writing, speaking)
Nice to have qualifications
- Proficiency in Infrastructure as Code (Terraform)
- Knowledge of container orchestration (Kubernetes)
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a position based in Bulgaria.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options and 25 vacation days for a healthy work-life balance
- Co-subsidized transportation & Multisport cards
- Premium health insurance for fast and easy access to top healthcare services
- Training policy for technical and other skills-related events, courses and certifications
- Personal career development roadmap guided by performance evaluations
- Self-care program offering psychological consultations & discussions for you and the team
- Cozy office space designed for comfort and productivity
- Exciting team events and company gatherings
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
We are looking for a Senior Python Engineer (AI & Cloud) to join a high-impact agile Task Force. You will be responsible for industrializing a Generative AI solution for a major French healthcare corporation, moving from POC to a production-ready MVP.
You will thrive in this role if you are:
- A Python & Cloud Expert: You have a strong command of GCP (Vertex AI) and integrating LLMs (Gemini, RAG architectures)
- A Precision-Oriented Developer: You can handle high-security constraints (HDS/GDPR) and complex data pipelines with a focus on accuracy (>90%)
- A Practical Innovator: You enjoy turning cutting-edge AI (Voice AI, NLU) into reliable industrial services
- A Collaborator: You value teamwork and knowledge-sharing within a cross-functional squad of Data and Salesforce experts.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- Deep understanding of Python internals, concurrency (asyncio), and design patterns
- Experience in building scalable and secure RESTful or GraphQL APIs
- Hands-on experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) to ensure automated testing and seamless deployment
- Experience with system integrations and data processing
- Hands-on experience with AI / LLM uses cases
- Experience with API frameworks: FastAPI or Flask (Django not required)
- Cloud experience required: preferably GCP, but AWS is acceptable
- Understanding of cloud deployment patterns
- Teamwork experience
- Proactive, collaborative mindset, quick learner
- Good English communication skills (reading, writing, speaking)
Nice to have qualifications
- Proficiency in Infrastructure as Code (Terraform)
- Knowledge of container orchestration (Kubernetes)
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a position based in Poland.
Mental and physical health:
- 24 working days of paid vacation
- National holidays covered
- Sick leave (up to 20/year)
- Unpaid leave (up to 20/year)
- Medical insurance
- Multisport card OR Multikafeteria
- Maternity & paternity leave support
Personal and professional development:
- Internal workshops & learning initiatives
- Professional certifications reimbursement
- Participation in professional local & global communities
- Growth Framework to manage expectations and define the steps to move towards the selected career
- Mentoring program with the ability to become a mentor or a mentee to grow to a higher position
Valtech Poland has a system of progressive benefit packages – the longer you stay with the company, the more benefits you get!
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
Associate AI Engineer
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for an experienced Sr. Product Manager to oversee our mobile app business. We're in the business of making a positive difference—and now, you can join us in helping millions of job seekers change their careers and their lives for the better.
ABOUT THIS TEAM
We are the global expansion branch of the BOLD group, building the largest career websites in the world since 2005 with our colleagues in San Francisco, Poland, Puerto Rico, and India. Our products, intended to help people find and kick-start their dream careers, draw in over 20,000,000 visitors a month and have been featured in The Guardian, Forbes, and The Financial Times.
Sitting at the intersection between business, technology, and user experience, we have a robust product team of makers and innovators who create seamless experiences for our users. They are responsible for product planning, gathering and prioritizing product and customer requirements, defining the product vision, roadmap and working closely with UX and engineering to deliver winning products.
Technologies/tools we use:
Amplitude, Microstrategy, Proteus (click tracking), Testing Tools, Google Suite, Slack, Zoom, Figma, AI tools.
WHAT YOU’LL DO
- Strategy & Vision: Present a clear product vision and mobile strategy to senior leadership, proactively aligning stakeholders and anticipating concerns.
- Roadmap Ownership: Independently lead sprint planning, scoping, and execution for the App. Prioritize the roadmap based on business value, opportunity sizing, and deep user pain points.
- Mobile Personalization: Work closely with cross-functional partners in UX Design, Research, Lifecycle Management and Platform Engineering to define user journeys and execute personalized experiences and notifications for App users.
- Cross-Functional Leadership: Drive alignment and remove friction across Product, Design, Engineering, and Data Science teams. Translate complex mobile requirements into clear specifications that balance technical scalability with speed of delivery.
- AI Integration: Work closely with Content Technology and Data Science to integrate next-generation AI and LLM-powered features directly into the mobile journey.
- Execution & Risk Management: Proactively mitigate risks and adjust plans as needed to meet deadlines, ensuring high-quality product outcomes are delivered reliably and on time.
- Experimentation: Design and analyze sophisticated A/B tests to validate mobile features, optimize conversion rates, and inform long-term app development.
- Reporting: In cooperation with product analytics, responsible for reporting on key performance metrics to executives.
WHAT YOU’LL NEED
- Experience: 6+ years of product management experience, with a proven track record of delivering measurable business outcomes in a mobile-first or app-centric environment.
- Technical Fluency: Strong understanding of mobile architecture, APIs, and technical tradeoffs. You should be comfortable collaborating with engineers on complex implementation decisions.
- Problem Solving: Ability to solve complex problems independently using structured frameworks and data-driven insights.
- Customer Advocacy: A customer-first mindset with experience synthesizing user feedback and research into prioritized product requirements.
- Analytical Rigor: Expertise in defining success metrics (KPIs), analyzing performance, and using quantitative/qualitative data to drive decision-making.
- Communication: Exceptional storytelling skills with the ability to tailor communication for both technical and non-technical audiences.
WHAT’S GOOD TO HAVE
- Experience with a subscription-based, data-focused product.
- Experience with International product development / localization processes.
- Experience using AI in products, or a general understanding of it.
HERE’S A FEW OF OUR PERKS & BENEFITS
Salary range: 18 000 - 21 600 PLN gross (Employment agreement / Umowa o Pracę)
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD
Senior AI Engineer (Core Engine)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories.
We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.
In this role, you will:
- Translate product needs into agentic tools and services and ship them to production.
- Scale prototypes to large numbers of users.
- Improve and test our semantic search service.
- Build evaluation pipelines for code retrieval and coding task performance.
We’ll be happy to have you on our team if you have:
- At least five years of hands-on NLP experience.
- Experience in information retrieval systems.
- Strong experience in LLM prompt and tool engineering, as well as with AI agents.
- Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
- Experience building and operating production-grade software systems.
We’d be especially thrilled if you have:
- Experience developing in Kotlin or Java.
- Previously worked with code intelligence (e.g. AST, symbol graphs).
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior Developer Advocate
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role :
Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.
We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.
Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.
What You Will Be Doing:
- Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
- Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
- Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
- Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
- Build demos and examples to support your content or share the highlights of the latest research papers.
- Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.
What You Bring :
- Solid technical background and experience in an engineering role.
- Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
- Comfortable working independently and seeing projects through from idea to publication without waiting on others.
- Curiosity and adaptability to quickly pick up new tools and topics.
- A collaborative mindset and willingness to share ideas, in a fully distributed team.
- Strong written and spoken communication skills in English.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Referral Board
About Shelf
Shelf builds software that helps enterprises make AI work in the real world. That only works when our systems are secure, observable, and maintainable under real production pressure.
About the Role
This role is for a senior backend engineer who will focus full-time on security work.
We are looking for a hands-on engineer who can improve our security posture by changing real systems, fixing real problems, and following through until the work is fully implemented and maintained.
This role is embedded close to support and operational engineering, so it stays connected to real incidents, real customer impact, and real follow-through. The scope is broader than one team. You will work across the company’s engineering surface wherever security work needs to land.
Our backend stack includes TypeScript/Node.js, AWS and Azure, PostgreSQL/Aurora, DynamoDB, Elasticsearch, S3, queues, observability tooling, CI/CD, and infrastructure-as-code. Exact stack match matters less than backend depth, security judgment, and learning speed.
Poland remote, with travel for onboarding and a few planned in-person collaboration sessions per year.
What You Will Own
- Find and fix concrete security issues in production systems.
- Improve token lifecycle, revocation, auth flows, auditability, and access controls across backend systems.
- Reduce or eliminate security-sensitive data exposure in logs, events, traces, and internal tooling.
- Improve security detection, logging, and audit trails so incidents are easier to detect, investigate, and contain.
- Rotate secrets, reduce long-lived credentials, tighten access, and relentlessly follow through on overdue security hygiene work.
- Review security findings from scanners and assessments, separate signal from noise, fix valid issues quickly, and improve the underlying architecture where needed.
- Sweep broadly when necessary, including across many repositories and services, rather than stopping at local ownership boundaries.
- Contribute to AI-security and modern application-security work where relevant, including risks introduced by new AI initiatives.
- Write useful technical documentation, post-incident follow-ups, and implementation notes that help security work stay real after the first fix lands.
What Strong Performance Looks Like
- Security improvements actually land in production and stay maintained over time.
- Important follow-through work does not get dropped because it is tedious, cross-cutting, or spread across many repos.
- You can tell the difference between a theoretical issue and a real one, and you act with urgency when the risk is real.
- Incidents lead to better systems, tighter controls, and faster detection instead of only better wording in a document.
- Teams trust you because you improve security through pragmatic implementation and follow-through.
What We Are Looking For
- Strong senior-level backend engineering experience in production systems.
- Real hands-on experience implementing security improvements in code, infrastructure, or operational workflows.
- Experience with application-security topics such as auth, token handling, access control, audit trails, logging, secrets, vulnerability remediation, or incident follow-through.
- Strong debugging and investigative instincts. You can trace ugly real-world issues through code, logs, and system behavior.
- Comfort working across many services and repositories when the problem requires a broad sweep.
- Ability to go from problem statement to implementation to enforcement with real ownership.
- Clear written and verbal communication. You can explain risk, trade-offs, and follow-up work without hiding behind vague security language.
- AI-native working style. You already use AI tools in your daily engineering workflow and know how to verify their output.
Strong Plus
- Experience improving security posture after real incidents or near-miss events.
- Experience with AI-security, OWASP LLM frameworks, or securing LLM-enabled systems.
- Experience improving queryability, logging, and forensic visibility for incident response.
- Experience moving systems from weak defaults to safer patterns such as stronger token handling or better credential models.
How We Evaluate Fit
We care most about implementation, enforcement, and follow-through. If you are the kind of engineer who sees a real security gap and closes it across the codebase, we want to talk.
What Shelf Offers:
- B2B contract.
- Company Stock Options.
- Hardware: MacBook Pro.
- Modern technical stack. Develop open-source software.
- GitHub Copilot subscription.
- Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.
Why Shelf:
- Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
- We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
- We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
- We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
- We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months
Our Values:
Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.
Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.
Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.
Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.
Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.
Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.
Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.
Ready to apply?
Apply to Shelf
Senior ML Researcher (Spectrum)
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Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.
Your responsibilities will include:
- Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
- Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
- Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
- Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
- Publishing research findings at top venues and representing Spectrum in the research community.
We expect you to have:
- A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
- A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
- Experience applying LLMs to structured knowledge extraction tasks.
- Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
- Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would also have:
- Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
- A background in code analysis, developer tools, or software engineering research.
- Experience with knowledge graph embedding methods or graph neural networks.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- Actively contributed to relevant open-source projects.
What we offer:
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
- Full support for publishing ML research and attending industry conferences.
- Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
- A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
- A rare applied research role where your methods ship in a real product used by software teams.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
AI Lead, Python Tools
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.
In this role, you will:
- Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
- Prototype and ship features yourself – this is a hands-on technical leadership role.
- Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
- Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
- Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
- Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
- Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.
We’d love to talk to you if you have:
- Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
- Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
- Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
- Familiarity with LLM evaluation and benchmarking.
- A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
- Strong communication skills and the ability to influence technical direction without formal authority.
- A strong product sense and care about solving real user problems, not just building interesting technology.
Nice to have:
- Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
- Experience with the Python AI/ML ecosystem.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Founding ML Engineer (Spectrum)
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Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
Your responsibilities will include:
- Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
- Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
- Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
- Establishing MLOps practices, including orchestration, observability, and experiment tracking.
- Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
- Defining hiring criteria, growing the ML team, and shaping the ML team culture.
We expect you to have:
- A proven track record as an ML/AI Lead.
- At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
- A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with:
- Prompt engineering and LLM pipeline design, including evaluation.
- Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
- Vector databases and retrieval-augmented generation (RAG) patterns.
- Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
- Strong Python skills – Kotlin knowledge would be a plus.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would have:
- Experience with ontologies, knowledge graphs, or graph-based reasoning.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- The ability to think strategically about product-led AI, beyond just training models in isolation.
- A background in code analysis, developer tools, or software engineering research.
- Experience with multi-agent systems or complex agentic workflows.
- Actively contributed to relevant open-source projects or publications.
What we offer
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior AI/ML Engineer (Spectrum)
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Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.
Your responsibilities will include:
- Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
- Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
- Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
- Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.
We expect you to have:
- At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
- A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with:
- Prompt engineering and LLM pipeline design, including evaluation.
- Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
- Retrieval-augmented generation (RAG) patterns and vector databases.
- Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
- Strong Python skills – Kotlin knowledge would be a plus.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would also have:
- Experience with ontologies, knowledge graphs, or graph-based reasoning.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- A background in code analysis, developer tools, or software engineering research.
- Experience with multi-agent systems or complex agentic workflows.
- Actively contributed to relevant open-source projects or publications.
What we offer:
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
- A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
- Opportunities to publish research at top venues in collaboration with JetBrains Research.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Product Growth Manager
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Fairmarkit is the #1 autonomous sourcing platform revolutionizing the way all organizations buy & sell. Fairmarkit equips procurement teams with automation, AI, and GenAI so they can source more competitively at scale. Our solutions for tail spend and strategic sourcing help innovative procurement teams reduce cycle times, drive out costs, meet ESG/Diversity targets, and provide a better stakeholder experience to internal partners and suppliers. Fairmarkit has been recognized with awards by organizations such as Gartner and IDC, and is backed by strategic investors like Notable Capital, Insight Partners, 1984.VC, and Newfund.
We are looking for a Growth Product Manager who will become a key addition to our strong Product Team.
In this role, you will drive the growth and adoption of Fairmarkit’s Intake product, used by major global enterprises. Beyond defining the roadmap, your primary focus will be on product adoption, usage, and measurable impact. You will work closely with customers, ensuring that what we build is not only shipped, but actively used and delivering value.
You will collaborate with a highly skilled team of developers building agentic-first solutions to solve complex customer problems.
Responsibilities
- Own product growth by defining, tracking, and improving key product metrics (adoption, engagement, retention, conversion).
- Build and maintain dashboards to monitor product performance and identify growth opportunities.
- Deeply understand user journeys and business processes, and continuously optimize them to improve adoption and user experience.
- Work closely with customers (calls, workshops, onsite when needed) — ideally spending 50%+ of your time with customers.
- Identify friction points in the product and proactively drive solutions that improve activation and long-term usage.
- Collaborate with engineering, design, and customer success to deliver impactful product improvements.
- Balance short-term customer needs with long-term product growth strategy.
- Use data and customer insights to define hypotheses, run experiments, and measure outcomes.
- Clearly communicate product decisions backed by data, customer insights, and business goals.
- Lead end-to-end product development : from discovery and validation to launch, adoption, and scale.
Requirements
- 6+ years of experience in product management, with a strong focus on product growth and metrics-driven decision making.
- Proven experience working with product metrics and driving measurable product growth.
- Hands-on experience with analytics tools and dashboards (e.g. Mixpanel, Amplitude, Looker, Tableau, or similar).
- Strong ability to independently define, track, and analyze product KPIs.
- Experience working closely with customers and driving product adoption (not just feature delivery).
- Experience in SaaS, enterprise software, procurement, ERP, or fintech is a strong plus.
- Experience with guided buying, intake, or customer-centric UX is a plus.
- Experience working with LLM-based or non-deterministic systems is a plus.
- English proficiency at B2 level or higher.
What We’re Looking For
- A metric-driven mindset - you make decisions based on data, not assumptions.
- A strong focus on product adoption and growth, not just feature delivery.
- Ability to identify what drives user behavior and optimize for it.
- Confidence to challenge requests and propose better, scalable solutions.
- Strong ownership and ability to work independently.
Nice to Have
- Experience in procurement intake or related domains.
- Understanding of procurement workflows (requisitions, approvals, purchase orders, vendor management).
- Experience simplifying complex systems into intuitive user experiences.
- Familiarity with tools like Miro, Confluence, FullStory or similar.
- Experience in Agile/Scrum teams.
- Experience with agentic systems or AI-driven product experiences.
For this role we are looking for a candidate based in Poland, the UK, or Ireland.
Ready to apply?
Apply to FairmarkitAbout us:
We believe the next generation of financial services will be powered by stablecoins.
Founded in 2021, our mission at BVNK is to accelerate global money movement.
We’re building stablecoin-native infrastructure so businesses can move value instantly across borders and networks. With global licenses and T1 bank partnerships, we facilitate billions in transactions for enterprise clients like Worldpay, Deel, LianLian Global, and Rapyd.
Our technology is transforming how businesses operate globally by eliminating payment delays, reducing costs, and unlocking trapped capital.
We’re a diverse team spread across EMEA, North America, and APAC, with a shared belief that stablecoins are the new infrastructure layer for financial services, and that BVNK is at the forefront of this shift.
In 2025, we secured strategic investment from Visa, following our $50 million Series B with Haun Ventures, Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. With the backing of these leading investors, we’re accelerating our growth – and we're looking for smart, ambitious people to help us build the future of financial services.
We're incredibly honored to have made Newsweek's list of The Top 100 Global Most Loved Workplaces three years running (most recently in 2025) and to have been recognised by LinkedIn as one of the Top 20 Startups in the UK in 2024
About this role in the team:
We are looking for a QA Engineer who views AI as their primary leverage. At BVNK, we aren't just looking for someone to maintain scripts; we want an engineer who views manual, repetitive testing as a problem to be solved with intelligent agents.
You will join a team of Quality Assurance experts responsible for the end-to-end integrity of our Fiat and Crypto products. Your mission is to evolve our testing from "automated" to "autonomous." You will build intelligent testing systems that predict failures, self-heal scripts, and utilize LLMs to bridge the gap between complex financial requirements and bulletproof code.
Key Areas of Responsibilities:
- AI-First Framework Evolution: Architect and maintain automation frameworks that prioritize AI-powered solutions for test generation, execution, and self-healing.
- Autonomous Quality Gates: Implement AI-driven gates in our CI/CD pipeline to predict regression risks before code is even merged.
- Synthetic Data Strategy: Leverage Generative AI to create complex, high-integrity test data sets for diverse global payment scenarios.
- Intelligent Observability: Use AI to analyze logs and system behavior, providing insights that traditional testing tools miss.
- Mentorship & AI Evangelism: Act as the subject matter expert on emerging AI tools (Claude Code, LangChain) to upskill the broader QA team.
What we need from you:
- AI-Native Mindset: You are an early adopter of LLMs and agentic workflows. You don't just use AI to write snippets; you use it to architect solutions.
- Technical Core: Expert-level proficiency in Python (our primary language) and the ability to navigate Java environments.
- Modern Tooling: Hands-on experience with PyTest, Playwright, and K6.
- Engineering for AI: Demonstrated experience implementing AI solutions for test case generation and automated bug triaging.
- Infrastructure Fluency: Familiarity with CI/CD concepts and desire to understand the integration of AI-driven testing into the deployment lifecycle.
- Precision & Speed: Exceptional attention to detail with the ability to move fast in a rapidly evolving FinTech environment.
- Bonus: LLM Integration: Experience building custom GPTs or using LangChain/LangSmith/LangGraf to evaluate LLM-based product features.
- Bonus: FinTech & Crypto: Previous experience in payments, stablecoins, or blockchain technology.
- Bonus: Agentic Testing: Experience experimenting with autonomous agents for exploratory testing.
What you can expect from us:
- Fair and competitive salary at every stage of your growth
- Meaningful ownership in the business through our employee option scheme
- Flexible working hours, with hybrid working at its heart
- A culture built on passionate growth-minded people
- A flexible approach to holiday
- Opportunities to travel to our offices around the world
- An open and creative environment where you can help us define the future of BVNK, its culture, and its opportunity sets
At BVNK, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team.
Ready to apply?
Apply to BVNK
Staff Machine Learning Engineer, AI Applications
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We are looking for a Staff Machine Learning Engineer, AI Applications to join Bolt’s Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you.
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt’s production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs.
This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows.
You will work closely with engineers and cross-functional partners building Bolt’s AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production.
Lead alignment of Customer Support AI system behaviour to Bolt’s business goals, customer experience standards, and policy requirements, improving answer quality, consistency, grounding, and escalation behaviour.. Build and scale knowledge mining capabilities that turn conversations, support tickets, workflows, policies, and operational data into reusable knowledge assets and improvement signals .Own the evaluation strategy for LLM-powered customer support systems, including offline benchmarks, golden datasets, human review workflows, online experimentation, and production quality metrics. Develop feedback loops that connect production failures and human corrections back into prompts, retrieval, benchmarks, and model behaviour, enabling continuous improvement of automation quality. Partner closely with engineers working on AI application infrastructure, contributing ML expertise to areas such as tool-use quality, routing behaviour, memory quality, and multi-step task performance. Influence roadmap and technical direction across teams by bringing clarity to trade-offs in model behaviour, retrieval quality, experimentation, and business impact.
You have hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI applications, and understand what drives high-quality grounded responses. You have worked on knowledge-heavy or policy-constrained domains where correctness, consistency, and trust matter. You have experience building feedback loops from user behaviour, QA signals, annotations, or operational outcomes into system improvements .You are able to operate at both strategic and hands-on levels: defining long-term direction while also diving into data, experiments, and failure analysis. You have strong communication and stakeholder management skills, and can align engineering, product, and operations around quality strategy and trade-offs. Experience with LLM-based pipelines or agentic AI systems is a strong plus, especially in areas such as tool use, routing, memory, multi-step reasoning, or human-AI orchestration.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks.
#LI-Hybrid
Ready to apply?
Apply to Bolt Technology
Senior AI Engineer
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BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.
❗️Please note that this role is office based for Valencia, Spain (RAS Valencia - Servicios Profesionales de Recursos Humanos).
❗️If you need to be relocated, we take care of the process.
We are developing an innovative platform for intelligent gameplay analysis and complex in-game scenario automation. Our team builds internal tooling that bridges the gap between Computer Vision, text analysis, and modern LLM architectures to achieve deep, real-time understanding of game mechanics.
Key Responsibilities:
- Core Development: Designing and maintaining an in-house AI-powered service for intelligent automation.
- Computer Vision: Training and calibrating Object Detection and Classification models (CNNs, DETR) on unique proprietary datasets.
- Intelligent Analysis: Integrating OCR solutions and LLMs to interpret data and structure information from dynamic content.
- MLOps: Building pipelines for model retraining based on "low-confidence" predictions (Active Learning).
- Infrastructure: Containerizing solutions and ensuring their scalability and performance.
Our Tech Stack & Requirements:
- Experience: 4+ years in software development (Backend / Full Stack / SDET).
- AI/ML Background: Proven hands-on experience with Detection Transformers (DETR) or modern CNN architectures.
- LLM & Agents: Understanding of AI Agent principles; experience building tools and integrations with LLMs (LangChain, Indexing, Tool-use).
- Python: Strong proficiency in Python and experience in AI tool development.
- Engineering Excellence: Deep understanding of TDD, clean architecture principles, and database management (PostgreSQL/MySQL).
- Networking: Experience designing APIs (REST, GraphQL, WebSockets).
- English: Upper-Intermediate (technical documentation, professional communication).
Nice to Have:
- Experience with Kubernetes and Docker.
- Understanding of microservices architecture.
- Experience setting up CI/CD pipelines (GitLab CI, GitHub Actions).
✅ We offer excellent benefits, including but not limited to:
🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, plus paid sick leaves;
🍲 Office snacks and refreshments;
🏋️♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
🎉 Exciting corporate events, team-building activities, and international company parties.
Bold moves start here. Make yours. Apply today!
Bold moves start here. Make yours. Apply today!
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Ready to apply?
Apply to BrainRocket
Senior Software Developer (IntelliJ AI)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production and free developers to focus on creativity and problem-solving.
The IntelliJ AI team develops the AI-specific core of JetBrains IDEs. We work on agentic workflows, intelligent editing assistance, and new AI-powered capabilities that redefine how developers interact with the IDEs.
We are looking for a Senior Software Developer to help us build the next generation of AI-powered features in JetBrains IDEs.
In this role, you will:
- Integrate state-of-the-art AI agents into our IDEs, continuously improving the developer experience of working with them.
- Enhance agent capabilities by equipping them with the most intelligent tools available in our IDEs.
- Create novel AI features with no direct market analogues, experimenting with and exploring the new possibilities brought by modern AI technologies.
- Measure and evaluate the performance of agents and other AI features to achieve reliability and reproducibility.
We are looking for engineers who:
- Want to help build the best IDEs in the world and push the boundaries of developer tools.
- Have strong knowledge of Java, Kotlin, or similar languages.
- Are comfortable designing and developing complex software systems.
- Are self-driven and able to take end-to-end ownership of challenging features.
- Possess strong communication skills in English, both written and verbal.
Experience that would be especially valuable:
- Building AI-powered features, especially with LLM-based systems.
- Developing IDEs, code editors, or complex desktop applications.
- Working on performance-sensitive or correctness-critical systems.
- Concurrent programming and performance optimization.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family.
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-IM1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior SEO Specialist (Link Acquisition)
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We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
We are looking for a senior SEO to come and take ownership of our link acquisition strategy across all brands. Reporting to the Head of SEO, you will have the resources and support you need to accelerate our growth in some of the world’s most competitive markets.
This is not an ordinary link building role, the right candidate will have a clear sense of ROI, understand the needs of unique markets and have a clear vision of how to improve visibility in both traditional search while looking towards an increasingly AI dominated future.
What you'll be doing:
- Own and deliver Superbet’s link acquisition strategy across all brands and markets, focusing on sustainable, high quality growth.
- Manage and optimise a six figure link budget, ensuring spend is efficient and aligned to performance targets.
- Drive measurable outcomes, linking activity to uplift in rankings, organic traffic, and revenue (where measurable) with clear reporting that connects spend to impact.
- Monitor, orchestrate, and respond to brand mentions across the web: coordinate light-touch outreach, relationship building, and follow-ups to convert coverage into value.
- Work with in-house PR and brand teams to identify opportunities and negotiate earned placements and coverage aligned to brand and SEO goals.
- Own link reclamation and cleanup: identify and recover lost links, fix broken linked pages, and convert unlinked brand mentions into credited mentions/links where appropriate.
- Lead competitor backlink and earned visibility analysis to identify gaps, replicable wins, and market-specific opportunities; translate insights into a prioritised execution plan.
- Build AI/LLM search visibility and brand preference signals by growing credible third-party coverage, strengthening entity/brand signals, and working with owned domains, affiliates, and partners to develop high-quality comparison and informational content that supports AI-assisted discovery.
- Influence and educate stakeholders across the business on the commercial value of authority building and backlinks using clear, non-technical communication and evidence.
What we are looking for:
- Experience: 5+ years of experience in SEO, with at least 3 years specifically focused on high-scale link acquisition, Digital PR, or Authority Building.
- Budget Management: Proven experience managing substantial budgets with a track record of delivering measurable ROI.
- Technical Toolset: Mastery of SEO and backlink analysis tools such as Ahrefs, Semrush, Majestic, and Moz. Proficiency in Google Search Console and Google Analytics (GA4) for performance tracking is essential.
- Strategic Communication: Ability to translate complex SEO concepts into "business speak" for stakeholders and brand partners. You should be as comfortable in a spreadsheet as you are in a creative brainstorming session.
- Analytical Skills: Strong data literacy; you should be able to run "test and learn" experiments, document results, and use data to pivot strategies in real-time.
- Future-Ready: A deep understanding of how search is evolving, including the impact of AI/LLMs on brand visibility and the importance of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness)
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
About Shelf
Shelf builds software that helps enterprises make AI work in the real world. We care about the hard part: reliable systems, clear operational logic, and production-grade engineering that makes AI useful instead of brittle.
Job Description:
This role is for a senior backend engineer who can own important systems, not just implement tickets.
You will take ambiguous problems, design the right backend approach, ship it, and keep it healthy in production. We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve over time.
This is a product engineering role with real ownership from system design through production.
What You Will Own
- Design and ship backend services, APIs, data flows, and background processing for production systems.
- Turn vague requirements into concrete technical plans, trade-offs, and execution.
- Own services after launch: reliability, observability, performance, and incident follow-through.
- Make sound decisions around system boundaries, data models, interfaces, and scaling paths.
- Write clear technical specs, architecture notes, and diagrams when they help the team move faster.
- Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes.
- Improve engineering leverage with AI tooling, automation, and internal workflows rather than using AI as a gimmick.
- Raise the quality bar through code review, design review, and pragmatic technical leadership.
What Strong Performance Looks Like
- You reliably move important backend work forward without waiting to be tightly managed.
- Your systems are easier to operate and easier to change because of your design decisions.
- You communicate trade-offs clearly and make the team around you more effective.
- You use AI tools well: to accelerate analysis, implementation, debugging, writing, and repetitive work, while keeping a high verification bar.
What We Are Looking For
- Strong senior-level backend engineering experience in production systems.
- Strong Python skills and the ability to design clean, maintainable backend code.
- Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries.
- Hands-on cloud experience in AWS, Azure, or a similar environment.
- Comfort with SQL and NoSQL systems, schema design, and performance tuning.
- Ability to go from problem statement to design to production rollout with real ownership.
- Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon.
- AI-native working style. You already use AI tools in your daily engineering workflow and want to keep pushing that further.
Strong Plus
- Experience with LLM-backed systems, search, retrieval, AI infrastructure, or data-heavy pipelines.
- Working knowledge of TypeScript or the ability to contribute across the stack when needed.
- Experience shaping technical direction for other engineers, even without formal management responsibility.
How We Evaluate Fit
We care more about ownership, systems judgment, and learning velocity than a perfect keyword match to our stack. If you are the kind of engineer who can take a messy problem and turn it into a strong production system, we want to talk.
What Shelf Offers:
- B2B contract.
- Company Stock Options.
- Hardware: MacBook Pro.
- Modern technical stack. Develop open-source software.
- GitHub Copilot subscription.
- Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.
Why Shelf:
- Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
- We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
- We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
- We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
- We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months
Our Values:
Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.
Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.
Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.
Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.
Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.
Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.
Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.
Ready to apply?
Apply to Shelf
About Capco
Capco is a global management and technology consultancy specializing in the financial services and energy industries. We help our clients succeed by combining deep domain expertise with innovative technology solutions. At Capco, you’ll join a collaborative and inclusive culture where your individuality is valued, your ideas are heard, and your career development is actively supported.
The Role
As a GenAI Developer (GCP), you will play a key role in designing, building, and deploying scalable AI-powered applications using Large Language Models and Google Cloud Platform.
Working in cross-functional agile teams, you’ll deliver production-ready solutions integrated into enterprise environments, helping clients unlock real value from Generative AI.
This role is ideal for an engineer passionate about GenAI, who enjoys combining strong backend and cloud skills with modern AI capabilities.
What You’ll Do
- Design, build, and deploy AI applications leveraging LLMs
- Develop scalable solutions using GCP services (Vertex AI, BigQuery, Cloud Run / Functions)
- Integrate LLM APIs (e.g. OpenAI, Vertex AI) into enterprise systems
- Design and implement RAG architectures
- Apply prompt engineering techniques to optimize model performance
- Build and maintain REST APIs and microservices
- Collaborate with cross-functional teams including data, backend, and business stakeholders
- Deliver high-quality solutions in agile, client-facing environments
What We’re Looking For
- 3–6 years of experience in software development
- Strong hands-on experience with Python
- Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Run / Functions)
- Practical experience working with LLM APIs (OpenAI, Vertex AI, etc.)
- Understanding of prompt engineering and RAG architectures
- Experience building REST APIs and microservices
- Strong communication skills and ability to work in a consulting environment
Nice to Have
- Experience with LangChain or LlamaIndex
- Knowledge of embeddings and vector search
- Exposure to LLMOps / MLOps on GCP
- Understanding of AI governance and security
- Experience in banking or regulated environments
Why Join Capco?
- Opportunity to work on innovative, high-impact GenAI projects for top-tier clients
- Clear career progression and continuous learning opportunities
- Inclusive, diverse, and collaborative culture
- Hybrid working model (1x per week in the office – Kraków or Warszawa)
- Competitive compensation and benefits package
- Strong local presence within a global consultancy
ONLINE RECRUITMENT PROCESS STEPS
1.Screening call with Recruiter
2.Technical Interview
3.Client Interview
4.Feedback / Offer
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment-related communication. All official Capco communication will be conducted via a Capco recruiter.
#GenAI #GCP #VertexAI #Python #RAG #LLM #Hiring #Capco
Ready to apply?
Apply to Capco
Staff Backend Engineer, AI Applications
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We are looking for a Staff Backend Engineer, AI Applications to join Bolt’s Customer Support Automation team and architect the core AI agent infrastructure that powers our automation stack. You will have the opportunity to design and build multi-age nt orchestration frameworks, routine execution engines, and evaluation (LLM evaluations) and tracing pipelines that are scaling Customer Support automation. If you are passionate about agentic AI, distributed systems, and building platforms that operate at massive scale, this role will perfectly suit you.
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
As a Staff Engineer, you will operate at the intersection of advanced AI and Bolt’s production engineering ecosystem, setting the technical direction for conversational experiences that are personalized, empathetic, and natural, while meeting strict business, compliance, and reliability requirements. This is a high-impact, high-scope role where you will guide platform evolution, amplify the effectiveness of multiple teams, and deliver resilient systems that enhance customer experience at a global scale.
Define and evolve the technical vision for next-generation conversational assistants, setting architecture and long-term direction across multiple teams and partner orgs. Drive adoption of scalable patterns for agentic AI systems, including orchestration, memory, tool use, and multi-channel consistency. Design and productionize GenAI-powered customer support systems, covering agent frameworks, tooling, guardrails, observability, and backend services. Build reusable platform capabilities that enable teams to develop, deploy, and iterate on conversational experiences reliably Cross-org technical leadership and alignment: Identify ecosystem gaps and define interfaces, standards, and integration patterns across teams. Lead cross-functional alignment and execution, influencing roadmaps and driving consensus on platform direction.
You have experience of thriving in an environment that has a fast customer-feedback cycle and having empathy for the end-user You have a data-driven mindset with comfort around ML evaluation methodology - you know how to measure whether an AI system is actually working You have a drive for leading initiatives and features till the end, even if the last mile is the hardest. You have strong system design skills, particularly in distributed systems, event-driven architectures, and high-throughput data pipelines .You have hands-on experience with LLM-based pipelines or agentic AI patterns (tool use, routing, state machines, multi-agent coordination). You possess solid understanding of algorithms and data structures.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks.
#LI-Hybrid
Ready to apply?
Apply to Bolt Technology
About Shelf
The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.
We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.
Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.
If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.
Our mission is to empower humanity with better answers everywhere.
Senior Frontend React Developer:
As a Frontend Engineer at Shelf, you'll craft the interfaces that make enterprise AI accessible and trustworthy. While others are building chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability?
You won't just build React components — you'll architect production-ready Next.js applications that handle high-load scenarios with complex states, real-time AI streaming, and multiple layers of enterprise functionality. Every interface decision you make directly impacts how knowledge workers at the biggest companies in the market interact with their most critical information.
This is frontend engineering at its most demanding. You'll tackle challenges like building real-time streaming interfaces for LLM responses, architecting state management for concurrent AI operations across multiple tenants, creating accessible interfaces for complex knowledge graphs with thousands of nodes, and ensuring blazing fast interactions even with petabytes of searchable content. Your components will bridge everything from enterprise authentication systems to cutting-edge AI models, requiring both sophisticated technical skills and sharp product instincts.
We obsess over frontend quality because we're building the trust layer for AI itself. When your interfaces gracefully handle edge cases, provide clear feedback during AI processing, and remain performant under load, you're not just meeting UX standards - you're directly enabling users to trust AI-powered answers and make critical business decisions with confidence.
You'll work on production SSR applications serving thousands of enterprise users, implementing localization for global markets, ensuring accessibility compliance, and maintaining security standards that pass SOC 2 audits. Your code will integrate with our Elasticsearch clusters, DynamoDB tables, and Aurora PostgreSQL databases through the largest park of REST APIs, handling real-time websocket updates for AI streaming and collaborative features.
We're a product company that ships fast without compromising on lasting quality. You'll work alongside proactive, ever-learning engineers who actively use AI coding assistants (OpenAI Codex, Claude Code) to accelerate development. We build custom MCP servers, implement DSPy pipelines for LLM optimization, and experiment with different AI tools for implementation. In our environment, AI isn't just what we build — it's how we build.
The best engineers we know are drawn to problems that matter. If you're excited by the challenge of building interfaces that make the AI revolution actually usable and trustworthy for enterprise users, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving UX patterns that the industry hasn't figured out yet.
Responsibilities
- Design and implement production-ready Next.js SSR applications with complex state management, handling high-load scenarios and real-time AI interactions at scale
- Build interfaces for AI-powered features including streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, intelligent content recommendations, and AI agentic builders
- Architect component libraries and maintain our design system in Storybook, ensuring reusability, accessibility, and consistent UX patterns across the platform
- Develop enterprise-grade functionality including multi-language support, accessibility compliance, cross-browser compatibility, and security implementations that meet SOC 2 standards
- Create comprehensive technical specifications and component API designs that clearly communicate interface decisions, performance trade-offs, and accessibility considerations
- Build and optimize data-heavy UIs using React Flow for node-based graphs, Highcharts for analytics visualizations, and custom virtualization for handling large datasets
- Instrument components for performance monitoring, track Core Web Vitals, implement error boundaries, and build automated visual regression tests with Playwright
- Take full ownership of the features you build, monitoring their performance in production, optimizing bundle sizes, and ensuring they scale gracefully as user load grows
- Work with SWR for intelligent data fetching, caching, and revalidation strategies that minimize API calls while keeping UIs responsive and data fresh
- Integrate with backend services via REST APIs, handle websocket connections for real-time updates, and implement optimistic UI patterns for seamless user experiences
- Leverage AI coding assistants to accelerate development while maintaining high code quality, and contribute to building internal AI agents that automate frontend workflows
- Stay current with React ecosystem best practices, Next.js updates, AI UX patterns, and modern frontend architecture—experiment with new approaches and share findings with the team
- Contribute to our engineering standards and practices through thoughtful code reviews, mentor colleagues on frontend best practices, and actively participate in our culture of continuous learning
Requirements
- Over 5 years of professional frontend engineering experience, including more than 3 years specializing in React and modern JavaScript/TypeScript
- Production Next.js experience - you've built and shipped SSR applications at scale, understand app router patterns, server components, and the trade-offs between SSR, SSG, and CSR
- Deep TypeScript expertise - you write type-safe code with generics, utility types, and advanced patterns.
- Complex state management - hands-on experience architecting state solutions for challenging scenarios: real-time collaboration, optimistic updates, multi-tenant data isolation, and large-scale data synchronization
- Enterprise application development - you've built applications with localization (i18n), accessibility, security best practices, and compliance requirements. You understand the complexity beyond "making it work"
- AI/LLM interface experience - you've built interfaces for AI-powered features: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions
- High-load optimization - proven track record optimizing applications for performance under heavy traffic, large datasets, and concurrent operations. You monitor Core Web Vitals and know how to improve them
- Modern CSS mastery - strong expertise with Tailwind CSS and/or CSS-in-JS solutions. You can implement pixel-perfect designs while maintaining responsive layouts and dark mode support
- Write well-structured, testable code with thoughtful component abstractions and clean APIs. You know when to abstract and when to keep it simple
- Strong problem-solving skills and genuine curiosity - you don't wait for designs to be perfect but proactively identify UX issues and propose solutions. You're never satisfied with "good enough" and constantly refine your craft
- Experience with AI coding assistants (OpenAI Codex, Claude, etc.) and eagerness to push the boundaries of AI-assisted development. Part of this role involves creating AI agents to automate portions of the frontend workflow
- Familiarity with observability and monitoring tools like Datadog, Sentry, or similar platforms for tracking frontend performance and errors in production
- Upper-Intermediate or better English skills for technical communication, documentation, and collaborating with distributed teams
- Present your work effectively both verbally and visually - you can articulate design decisions, create component documentation, and explain technical trade-offs clearly
Be a Plus:
- Experience with React Flow, Highcharts, or other complex data visualization libraries
- Understanding of Node.js/Python/backend fundamentals - you can read backend code and contribute to API design discussions
- Experience with SWR, React Query, or similar data fetching libraries
- Hands-on experience with vector search UIs, RAG interfaces, or semantic search implementations
- Familiarity with MCP (Model Context Protocol), DSPy, or other cutting-edge AI frameworks
- Experience with monorepo tools (Lerna, Turborepo, Nx) and managing shared component libraries
- AWS services knowledge (S3, CloudFront, Lambda) and understanding of serverless architectures
- Built or contributed to design systems or open-source component libraries
- Experience with Playwright, Puppeteer, or Cypress for comprehensive E2E testing
- Experience building AI agent interfaces or agentic AI workflows
What Shelf Offers:
- B2B contract
- Company Stock Options
- Hardware: MacBook Pro
- Modern technical stack. Develop open-source software
- Premier AI development environment: GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, v0, MCP Servers, plus credits for experimenting with emerging AI tools
Why Shelf
- Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
- We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
- We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
- We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
- We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months
Our Values:
Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.
Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.
Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.
Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.
Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.
Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.
Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.
Ready to apply?
Apply to Shelf
Senior Data Scientist, Machine Learning Engineer
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About Shelf
The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.
We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.
Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.
If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.
Our mission is to empower humanity with better answers everywhere.
Summary
The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.
This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.
You’ll work in an agile environment, move fast, and own what you ship.
Responsibilities
- Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
- Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
- Solve problems using sound methodology, evaluate approaches along with
- Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
- Collaborate with Product Owners to shape our product and requirements
- Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
- Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
- Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement
Requirements
- 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
- Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
- Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
- Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
- Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
- Strong English verbal and written communication
As a plus
- LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
- Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
- Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
- Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
- Background in reinforcement learning, agent frameworks, or autonomous agents
- Publications, open-source contributions, GitHub portfolio
What Shelf Offers
- B2B contract
- Company Stock Options
- Hardware: MacBook Pro
- Modern technical stack. Develop open-source software
- Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools
Why Shelf
- Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
- We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
- We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
- We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
- We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months
Our Values:
Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.
Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.
Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.
Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.
Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.
Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.
Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.
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Manager II, Software Engineering
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Why Housecall Pro?
Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well.
While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together—no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros.
We also offer:
- Paid time off
- Flexible work hours
- 100% remote work
- Equity shares in a rapidly growing company backed by top-tier VCs
- A culture built on innovation that values big ideas
- We work in Central European Time*
- Newest MacBook + Setup Fee ($500)
About the role
As an Engineering Manager II on our Platform Organization you will lead two squads that are foundational to how Housecall Pro scales: Search Platform and Identity & Access Management (IAM).
The Search Platform squad owns the infrastructure and tooling that powers search across our product - enabling domain teams to build fast, relevant search experiences. The IAM squad is responsible for building the core identity and access control layer - establishing scalable APIs for authentication and authorization, and enabling new user types and security models as the business grows.
Both squads operate as platform and enablement teams: they build the technical foundations that product and domain teams rely on to ship safely and at pace. You will drive the strategic direction for these areas and create the conditions for your engineers to do their best work.
This is a role for someone who thrives at the intersection of people leadership, technical depth, and cross-functional influence. You will partner closely with your Director, Staff Engineers, Product, and domain teams to translate business needs into platform capabilities.
Compensation: 9500 - 10200 USD per month
👉*We work in CET, but this role will occasionally require sync meetings with the US team, which may shift your workday to finish later in the afternoon (6:00 PM), as we operate with flexible hours.
What you do Each Day
- Lead and manage two platform engineering squads: Search Platform and IAM
- Drive the technical and strategic direction for search infrastructure (Elasticsearch, observability, developer-facing APIs) and identity & access management (authentication, authorization, RBAC, session management)
- Partner with your Director and Staff Engineers to shape architecture decisions that support scalability, reliability, and a long term platform roadmap
- Enable domain teams to build on top of your platforms effectively - through clear APIs, documentation, training, and hands-on consultation
- Mentor and develop senior and staff-level engineers, fostering a culture of accountability and technical excellence
- Monitor team health, progress, and delivery - removing roadblocks and ensuring your squads maintain momentum on high-impact work
- Manage performance through regular feedback, career development conversations, and performance reviews
- Champion observability, developer experience, and operational excellence across both platform domains
Qualifications
- 7+ years of experience in software engineering
- 4+ years in a people leadership or management role, ideally leading multiple teams or squads
- Hands-on experience applying AI and LLM-based tools to accelerate engineering workflows, code quality, and team productivity
- Proficiency in modern programming languages and frameworks (e.g., JavaScript, Python, Node.js, React, Ruby)
- Familiarity with search technologies (e.g., Elasticsearch), identity and access management patterns, or similar platform domains
- Experience with distributed systems architecture and high-traffic, large-scale applications
- Proven track record of delivering complex software projects on time and within scope
- Experience enabling other teams through APIs, documentation, and developer tooling
- This position requires fluency in both Polish and English
What will help you succeed
- Proven experience driving team efficiency or output quality through the strategic use of AI tools and automation
- Ability to lead through influence and build trust with senior technical individual contributors
- Strong strategic thinking with the ability to map technical debt and platform needs to business value
- Excellent communication skills for navigating complex, cross-functional stakeholder environments
- Resiliency and adaptability in a fast-paced, high-growth startup environment
*This role is open to candidates inside Poland. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills and experience.
**This job description serves as an outline only. Due to business needs, you may be required to perform job duties that are not within your written job description. Furthermore, we may revise, add to, or delete from your job duties per business needs.
Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service.
Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success.
We support more than 50,000 businesses and have over 2,000 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you.
Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-Remote
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Cloud Infrastructure Engineer (Kineto)
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Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.
What you’ll do:
Cloud and platform engineering (DevOps):
- Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
- Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
- Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
- Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
- Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.
Operational excellence and reliability:
- Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
- Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
- Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
- Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.
Technical leadership:
- Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
- Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
- Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.
We’d be glad to have you on our team if you:
- Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
- Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
- Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
- Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
- Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
- Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.
#LI-YY1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Senior MLOps Engineer (ML Workflows Engineering)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.
By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.
As part of our team, you will:
- Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
- Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
- Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
- Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
- Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
- Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.
We’ll be happy to have you on our team if you have:
- Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
- A solid understanding of the ML lifecycle from idea to the customer-facing application.
- The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
- A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
- Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
- At least three years of Python experience writing clean, maintainable code in modern ML codebases.
Our ideal candidate would have experience with:
- ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
- Developing infrastructure components and services using cluster solutions like Kubernetes.
- The development of Python-based backend services.
- Creating and maintaining ML pipelines, including legacy ones.
- Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
We’d be especially thrilled if you have experience with:
- LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
- Writing and maintaining Python libraries used by internal (or external) ML engineers.
- A strong theoretical background in NLP and transformer-based approaches.
- Writing code in Java and/or Kotlin.
#LI-HYBRID
#LI-MR1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
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Senior ML Platform Engineer
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We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms.
We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.
Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations.
Designing, building, and optimising components of Bolt’s ML Platform. Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time. Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance. Proactively solve technical challenges, discover and build new features, enabling develop efficiency. Support our internal users and help with troubleshooting, and turn user problems into scalable solutions. Raise our product and technical quality bar, promoting software engineering best practices.
5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering. Experience in leading and delivering complex cross-team projects. Production experience with Python, Spark, and Kubernetes. Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale. You strive for technical excellence while staying pragmatic to achieve outcomes for the users.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
#LI-Hybrid
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Apply to Bolt Technology
Senior ML Platform Engineer
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We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms.
We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.
Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations.
Designing, building, and optimising components of Bolt’s ML Platform. Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time. Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance. Proactively solve technical challenges, discover and build new features, enabling develop efficiency. Support our internal users and help with troubleshooting, and turn user problems into scalable solutions. Raise our product and technical quality bar, promoting software engineering best practices.
5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering. Experience in leading and delivering complex cross-team projects. Production experience with Python, Spark, and Kubernetes. Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale. You strive for technical excellence while staying pragmatic to achieve outcomes for the users.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
#LI-Hybrid
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Research Engineer (LLM Training and Performance)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We’re looking for a Research Engineer who will own the training stack and model architecture for our Mellum LLM family. Your job is easier said than done: make training faster, cheaper, and more stable at a large scale. You’ll profile, design, and implement changes to the training pipeline – from architecture to custom GPU kernels, as needed.
As part of our team, you will:
- Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
- Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
- Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
- Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream when possible.
- Push memory/perf levers: FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, NCCL tuning.
- Harden large runs by building elastic and fault-tolerant training setups, ensuring robust checkpointing, strengthening reproducibility, and improving resilience to preemption.
- Keep the data path fast using streaming and sharded data loaders and tokenizer pipelines, as well as improve overall throughput and cache efficiency.
- Define the right metrics, build dashboards, and deliver steady improvements.
- Run both pre-training and post-training (including SFT, RLHF, and GRPO-style methods) efficiently across sizable clusters.
We’ll be happy to bring you on board if you have:
- Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
- Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
- Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
- GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
- A solid understanding of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and how they show up in traces.
Our ideal candidate would have experience with:
- FlashAttention-2 and 3, CUTLASS and CuTe, TransformerEngine and FP8, Inductor, AOTAutograd, and torch.compile.
- MoE at scale (expert parallel, router losses, capacity management) and long-context tricks (ALiBi/YaRN/NTK scaling).
- Kubernetes or SLURM at scale, placement and affinity tuning, as well as AWS, GCP, and Azure GPU fleets.
- Web-scale data plumbing (streaming datasets, Parquet and TFRecord, tokenizer perf), eval harnesses, and benchmarking.
- Safety and post-training methods, such as DPO, ORPO, GRPO, and reward models.
- Inference ecosystems such as vLLM and paged KV.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Apply to JetBrains