We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Position Summary

Position Summary

What You'll Do

• Manage the day-to-day operations of the Security Operations Center (SOC), including triaging, investigating, and resolving security incidents.
• Collaborate with other security teams to develop and implement security monitoring policies and procedures.
• Develop and maintain a comprehensive understanding of the organization's infrastructure, applications, and security controls.
• Ensure that security incidents are properly documented and reported in a timely manner.
• Manage relationships with external vendors and service providers that support the SOC.

What You'll Need

• MSc degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in a Security Operations Center environment, with at least 2+ years in a security engineering role.
• Hands-on experience with security monitoring technologies including EDR, Zscaler (ZPA/ZIA/ZDX), and Palo Alto firewalls.
• Strong understanding of EDR and WAF solutions, as well as Zscaler and Palo Alto firewall technologies.
• Knowledge of network protocols and infrastructure.
• Excellent analytical and problem-solving skills.
• Basic knowledge of Python programming or automation.
• Ability to communicate complex technical issues to non-technical stakeholders.
• Strong interpersonal skills as well as excellent written and verbal communication skills.

Preferred Qualifications

• Experience working in a global or multi-region security operations environment.
• Familiarity with SIEM platforms and log management tools.
• Exposure to threat intelligence and vulnerability management practices.
• Relevant security certifications (e.g., CompTIA Security+, CEH, GCIA, or similar).

We are looking for bright and exceptional software engineers to join our technology team. You will build next-generation software used by some of the most sophisticated alternative asset managers, and play a central role in Arcesium's platform experience

What You'll Do:

• Build high-performance, data-dense UIs featuring virtualized grids, advanced column management, real-time status views, and complex multi-step financial workflows
• Work with Product Managers and Designers to drive the Modern UI rollout in delivering parity with legacy screens while meaningfully improving usability, navigation, and accessibility
• Architect and develop the Backend for Frontend (BFF) layer using Node.js/TypeScript to orchestrate, stitch, and transform data from multiple backend services for efficient UI consumption
• Build and maintain reusable components in the Arc Design System (MUI-based), ensuring consistency across opt-in/opt-out flows, column customizers, filter panels, and shared UI patterns
• Collaborate with backend teams to define and close API contracts, and work with non-technical stakeholders to review and validate usability and experience quality
• Contribute to AI-assisted development workflows, including prompt-driven component scaffolding, AI-powered legacy app migration tooling, and embedding agent interactions into UI

What You'll Need:

• A bachelor's degree in engineering with 2–5 years of experience in the IT industry
• 2+ years of hands-on web development with HTML5, JavaScript, TypeScript, React, CSS, and TDD practices
• Strong command of core JavaScript (closures, event loop, prototype chain, async/await) and TypeScript (generics, strict typing)
• Solid understanding of architectural principles including BFF patterns, component decomposition, state management (MobX or equivalent), and web performance optimization
• Practical experience building and optimizing data grids, including virtualization, lazy loading, column configuration, and filtering at scale
• Experience with Material UI (MUI) and design system principles; ability to build accessible, consistent UI components aligned to a shared design language
• Experience with Node.js/Express for server-side rendering or BFF development is preferred
• Curiosity and comfort working with AI-assisted development tools (LLM-based coding, prompt engineering for UI scaffolding) is a huge plus

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will apply your expertise in AI capabilities to build and deploy production grade AI powered systems towards data engineering, analytics & product evolution use cases.  You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts, product teams and stakeholders throughout the company.

Responsibilities

• Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
• Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
• Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
• Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
• Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
• Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.

What it takes to catch our eye

• Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
• Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
• Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
• A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
• Growth mindset, excited to learn, iterate, and deliver measurable business outcomes through applied AI.

Come change how the world works.

ComplyAdvantage Technology

At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

What you will be doing

As a Machine Learning Engineer, you will: 

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
• Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• We make substantial use of  modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
• We use modern observability solutions (Grafana) and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

• Experience maintaining and scaling machine learning-powered applications in production environments.
• Experience building scalable backend applications (preferably with Python).
• A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
• Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.

Nice to have:

• Experience working with PySpark or other distributed data processing frameworks.
• Background in building data-intensive applications or distributed systems using map-reduce style architectures.
• Familiarity with event-driven or microservice architectures.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development

Location: Portugal

Department: Engineering

Employment: Full time

About YLD:

Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.

About the role:

As a Software Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Software Engineering Consultant is a highly skilled developer who exemplifies the highest standard in software engineering and enjoys sharing their knowledge and experience with others.

You’ll have the opportunity to build and deliver software within some interesting projects in terms of the product and methodology. We work in an Agile environment (Scrum) with a test-first mindset (actually, writing code without tests should be unthinkable). We are also big advocates of pair programming and nothing is released until we have a code review.

You have a real passion for problem-solving and are an active learner who gets excited by working collaboratively with those around you.

Your day-to-day responsibilities will look like this:

• Crafting excellent products! As an AI Engineer, you will be building new AI-powered features that meet the needs of our clients' customers, as well as improving their Digital Platform with intelligent capabilities;
• Continuously delivering changes to products including AI model integrations, prompt optimisations, and system improvements, as we push for a full CI/CD model;
• Working closely with your team, regularly collaborating on both traditional engineering and AI initiatives, to continually push yourselves to build better, smarter systems;
• Participating in regular show and tells to promote your work — from AI experiments to production deployments — to both your department and the wider company;
• Joining our clients’ internal events, including meeting external speakers, going to quiz nights, etc.

You’ll have the following skills and experience:

Core Programming & AI

• Proven strong experience with JavaScript, TypeScript, and Python
• Advanced GenAI/LLM expertise: RAG, embeddings, vector search, prompt engineering, evals, guardrails, caching, chaining, function calling, etc
• Fine-tuning expertise: LoRA/QLoRA, instruction tuning, RLHF, domain adaptation, and custom model training
• Agentic architecture design: multi-agent systems, tool orchestration, planning/reasoning frameworks, memory systems, and agent coordination patterns
• Eval systems: automated evals, human feedback loops, benchmarking, A/B testing, safety testing, hallucination detection, and performance metrics
• Experience with LLM frameworks (LangChain, LlamaIndex, LiteLLM, CrewAI, Mastra, etc) and API integrations (OpenAI, Anthropic, etc.)

Infrastructure & DevOps

• CI/CD pipelines and IaC tools (Terraform, CloudFormation, CDK)
• Cloud platforms (AWS, Azure, GCP) for GenAI workloads and API management
• Containerisation and orchestration (Docker, Kubernetes) for AI applications
• LLM hosting and inference optimisation (vLLM, TGI, local deployment)

Data & Databases

• Vector databases (Pinecone, Weaviate, Chroma, Qdrant) and traditional databases (PostgreSQL, Neo4j)
• Data pipeline design for RAG and knowledge ingestion
• Real-time data streaming and processing
• Document processing and embedding generation workflows

Frontend & APIs

• React or modern UI frameworks
• API design for LLM services and conversational interfaces
• Multiple protocols (HTTP, GraphQL, gRPC, WebSockets, MCP)
• Real-time chat and streaming response handling

Performance & Reliability

• Building high-performance, scalable AI applications
• LLM cost optimisation, token management, and caching strategies
• Performance monitoring, observability, and debugging production AI systems
• Comprehensive testing: unit, integration, AI behaviour, security, accessibility

You’ll be:

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail oriented;
• Used to working in a team-oriented, collaborative environment;
• Comfortable with experimentation, iteration, and managing uncertainty in AI systems;
• Analytical and problem-solving oriented;
• Ethical thinker who considers the broader implications of AI implementations;
• A genuine believer in diversity and fairness.

As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• 25 days annual holiday (excluding Public Holidays)
• €2000 annual allowance for Training/Conferences
• €300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.