About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

Location: Bucharest

About us:

IONOS is the largest cloud hoster in Europe and is setting up the foundation as European Cloud Provider. This includes not just offering storage that can compete with the American hyper-scalers, but that offers the full infrastructure stack, including AI & Machine Learning Products. As the largest hosting company in Europe, we manage more than 8 million customer contracts and host over 12 million domains in our own regional data centers in the US and Europe.

About the team:

The AI & ML Products Development department is responsible for building the platform for ML Services products for IONOS Cloud customers, as well as other companies in the United Internet group.

Our most recent product development features integration of GenerativeAI foundational models, LLMs and others. We run foundational models on prem in our cloud, such as Meta’s Llama, Mistral or StableDiffusion and also VectorDBs and offer them via APIs to our cloud customers.

We are also working with classic ML models for Computer Vision,  NLP), audio/voice  processing & predictions.

Our team is working with technologies such as HugginFace frameworks, TensorFlow, PyTorch, Keras, vLLM, notebooks, MLflow and others.

On the platform side, technologies: GoLang, Java, Spring Boot, REST APIs, Hibernate, SQL (PostgreSQL and MySQL) and NOSQL (Redis, MongoDB). 

We deploy everything to cloud-native Docker / Kubernetes environments, making use of GitHub + Actions, ArgoCD, Prometheus, and other modern cloud technologies.

You will work together with a creative and innovative group of people that love experimenting and learning new things. We are an international team that breaks barriers and solves real customer and business problems.

Main responsibilities:

Would you like to join the AI Technology team at IONOS (1&1 Internet), Europe’s leading cloud and web hosting provider? We are building a platform that provides AI solutions to customers worldwide, from GenAI / LLM inference, to model training, vector databases and much more.

We are looking for a Go Developer with Python knowledge to develop our AI Cloud platform, which provides GenAI and Machine Learning Services to customers in IONOS Cloud.

In this role, you will:

• Develop platform components, services and APIs, that integrate AI / ML services into our cloud products stack;
• Drive cloud-native implementation as part of a cross-functional team responsible for building our AI / ML platform that will provide AI-based products to our cloud customers, as well as internal clients and IONOS Group brands;
• Take part in all phases of development, maintenance and housekeeping of the platform;
• Work closely with Product Owners, Architects to define the best technical solutions that match our product vision;
• Collaborate with an international organization of software developers and AI enthusiasts.

We appreciate:

• Strong programming language in GO / Python, preferably more than one, and ecosystem knowledge with a 4+ years experience, or 7+ years for Senior level;
• Experience with cloud-native environments such as Docker, Kubernetes;
• Very good command of software design patterns and architectural concepts;
• Experience with building RESTful services;
• Ability to take on technical concepts and deliver solution for project initiatives;
• Microservice oriented architecture, performance and scalability concerns;
• Very good OOP and OOD experience;
• Experience with build tools and versioning systems, such as Git/GitHub/Gitlab, Actions, Jenkins, ArgoCD or similar;
• Good written and verbal English skills. 

Would be a plus:

• Product-oriented development mindset and a responsible ownership attitude towards software components;
• Previous experience integration AI / ML related solutions;
• Strong understanding of systems resilience, concurrency, and scalability concerns;
• Full-stack development skills are appreciated;
• Knowledge of Machine Learning technologies, working with data and ML models;
• Openness to take new approaches, learn new concepts and technologies;
• An open collaboration approach and transparent communication.

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Employee anniversary program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

Your Impact

We are hiring a Director of Technical Support (International) to play a pivotal role in scaling our Tier 1 and Tier 2 Technical Support teams globally. Reporting directly to the Senior Director, Global Support, you will be responsible for building the operational foundation, structure, and cross-functional partnerships necessary to support our rapidly evolving product portfolio across geographical regions.

This role requires a strong technical support leader with deep operational experience, a solid working knowledge of connected device products, a track record of building and transforming teams, and the ability to lead through change. You will shape and implement scalable support processes, drive post-acquisition alignment, and partner closely with Product, Engineering, Sales, Customer Success, and IT to deliver a unified, world-class customer experience.

What You’ll Do

Location: Bucharest, Romania
Direct Reports: 15
In accordance with our updated team guidance, some roles at Axon will now have an in-office expectation of four days per week (Tuesday-Friday), unless there is an approved accommodation.
Reports to: Sr. Director, Global Support

1. Global Support Leadership

• Lead international Tier 1 and Tier 2 Technical Support teams supporting Axon body cameras, TASER devices, Evidence.com, Interview Room, and Fleet solutions.
• Establish and scale a follow-the-sun support model to ensure seamless global coverage and case handoffs across regions.
• Build and develop Axon’s Bucharest Support Center of Excellence, establishing operational rigor, strong leadership, and scalable team structures.
• Coach and develop frontline employees while driving a high-performance, customer-first culture.

2. Operational Excellence & Tier 1 Management

• Drive Tier 1 operational performance including WFM, QA programs, scheduling, and real-time adherence.
• Own core support KPIs including CSAT, SLA adherence, backlog health, escalation rates, and first contact resolution.
• Implement structured operational cadences, reporting, and continuous improvement programs.
• Strengthen Tier 1 → Tier 2 escalation workflows and knowledge transfer.

3. Technical Support & Escalation Leadership

• Provide leadership oversight for Tier 2 troubleshooting across hardware, firmware, networking, mobile, and cloud systems.
• Own escalation management and high-severity incident coordination across Support, Engineering, and Product teams.
• Drive root cause analysis and systemic improvements that improve product reliability and customer experience.
• Ensure strong technical depth and subject matter expertise across Axon product lines.

4. AI, Automation & Support Innovation

• Champion an AI-first approach to support operations through automation, LLM-enabled workflows, and intelligent tooling.
• Identify opportunities to improve agent productivity, troubleshooting workflows, and customer self-service capabilities.
• Partner with Product, Engineering, and internal AI teams to modernize support systems and processes.

5. Cross-Functional Partnership

• Serve as a key support leader partnering with Product, Engineering, Customer Success, and Sales.
• Translate support insights into actionable product feedback and operational improvements.
• Ensure support readiness for new product launches, firmware updates, and platform releases.

What You Bring

• Embodies an #OWNIT mindset when it comes to solving customer problems and leading high-performing teams.
• Demonstrates an AI-first approach to improving support operations and workflows.
• Excellent verbal and written communication skills with strong executive presence.
• Strong knowledge of hardware, networking, mobile devices, and cloud-based platforms.
• Deep understanding of tiered technical support models and contact center operations.
• Must pass a Criminal Justice Information Services (CJIS) background check and maintain confidential and highly sensitive information.

Preferred Qualifications

• 10+ years of experience in technical support or customer operations with 5+ years leading tiered support organizations.
• Experience managing global or international support teams, ideally operating within a follow-the-sun model.
• Experience supporting IoT or connected hardware ecosystems combining devices, networking, and cloud platforms.
• Strong familiarity with CRM systems (Salesforce preferred), CCaaS platforms, WFM tools, and QA programs.
• Experience partnering with Engineering and Product teams on escalations, root cause analysis, and product improvement.
• Strong knowledge of routing and switching methodologies, Wi-Fi, telecommunications, and Internet technologies
• Strong knowledge of virtualization and virtual machines, computer/server hardware, operating systems, and storage devices, redundant storage solutions, SSH, and SSO identity providers such as ADFS, Azure, and/or OKTA
• Bachelor’s degree in a technical field preferred

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Java Backend Engineer

Hybrid, Bucharest, Romania

JOB OVERVIEW

The Legion application is a high-performance data-driven Java enterprise application that implements sophisticated scheduling and optimization algorithms. It also provides the necessary endpoints for our Web and mobile frontend applications. As a Senior Software Engineer, you will be a member of the team responsible for the implementation and evolution of this application. You will need to be able to write secure, efficient, enterprise-quality Java code, and have a deep understanding of the techniques and technologies that are necessary for scalability and performance. You will also need knowledge and experience with data modeling and relational databases. Our application runs on AWS, so experience with containerization and cloud deployments is desirable. We're using Springboot, Hibernate, MySQL, and JSON, so familiarity with these technologies will be helpful. Frontend experience in JavaScript and Angular and/or React is a big plus.

RESPONSIBILITIES AND DUTIES

• Design and implement: Build scalable, high-performance, and secure features for our Time & Attendance engine, including time-tracking, scheduling rules, overtime logic, and labor compliance calculations.
• Leverage AI tooling daily: Use AI coding assistants and LLM-powered tools throughout your workflow — code generation, test scaffolding, code review acceleration, documentation, and debugging — and share learnings with your team.
• Own quality: Write comprehensive unit tests, integration tests, and collaborate on automated test suites. AI-generated code still needs rigorous human review and validation.
• Drive technical decisions: Participate actively in architecture discussions, propose solutions, and document trade-offs with clarity.
• Mentor and review: Give substantive code reviews, pair with junior engineers, and model best practices including responsible AI-assisted development.
• Collaborate cross-functionally: Work closely with Product Management, UX, and QA to translate business requirements into robust technical specifications and BDD scenarios.
• Troubleshoot production issues: Diagnose and resolve complex bugs in distributed, high-volume environments with urgency and care.
• Continuously improve: Identify and drive performance, scalability, and reliability improvements across the platform.
• Uphold security standards: Participate in security reviews and ensure implementations comply with industry standards and internal policies.

REQUIRED SKILLS AND QUALIFICATIONS

• Experience: 5-10+ years of professional software development with deep expertise in Java (or C++) in enterprise or SaaS environments.
• AI tooling proficiency: Demonstrated, habitual use of AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code, ChatGPT, Tabnine) in daily development - you should be able to describe specific workflows where AI tooling materially changed how you work.
• Backend depth: Strong command of Spring Boot, REST API design, Hibernate/JPA, and relational databases (MySQL or equivalent), including query optimization and indexing strategies.
• Distributed systems: Solid understanding of microservices architecture, asynchronous patterns, and high-volume transaction handling.
• Cloud & containerization: Hands-on experience with AWS and containerized deployments (Docker, Kubernetes).
• Software craftsmanship: Deep familiarity with coding standards, code review practices, CI/CD pipelines, and DevOps principles.
• Testing discipline: Proven ability to write and maintain unit tests, integration tests, and automated test suites - including for AI-generated code.
• Problem-solving: Demonstrated ability to troubleshoot and debug complex, multi-layered systems independently.
• Communication: Excellent written and verbal communication skills; able to document technical decisions clearly for both engineers and non-technical stakeholders.
• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience.

PREFERRED QUALIFICATIONS AND ATTRIBUTES

• AI-native workflow: You've gone beyond autocomplete — you use AI for architecture brainstorming, test generation, spec drafting, PR summaries, and are actively experimenting with agentic coding tools.
• Workforce management or HCM domain experience: Familiarity with time-and-attendance, payroll, scheduling, or labor compliance systems is a significant advantage.
• Frontend exposure: Working knowledge of JavaScript and either Angular or React.
• Leadership track record: Experience informally leading feature teams, running design reviews, or serving as a technical point of contact for a product area.
• Performance engineering: Prior work on query optimization, caching strategies, or throughput/latency improvements in high-volume applications.
• Agile fluency: Comfortable operating in fast-paced sprint cycles with evolving requirements.
• Integrity and judgment: Demonstrated ethical behavior and sound judgment, including when evaluating AI-generated outputs for correctness, bias, and security implications.

In your interviews, we'll ask you to describe:

• Which AI coding tools you use and how frequently.
• A specific example where an AI tool helped you design, refactor, or debug something non-trivially.
• How you validate and review AI-generated code to catch errors, security issues, or performance problems.
• Your view on the limits of current AI coding assistants and where human judgment remains essential.

We are not looking for performative AI enthusiasm. We are looking for engineers who have genuinely integrated these tools into their craft and can think critically about their strengths and failure modes.

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. 

Legion WFM was built for the cloud with AI at the core and is designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is composed of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co 

COMPENSATION & BENEFITS

At Legion, we offer competitive compensation and benefits packages to all employees. As a hybrid employer in Bucharest, Romania, pay for positions is determined using local, national, and industry-specific survey data. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. 

Benefits include, but are not limited to: 

• Health Benefits
• Paid Time Off and Paid Holidays
• Equity
• Monthly Wellness Reimbursement
• Meal Vouchers

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

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.

*Some perks may differ depending on your location and role.