Lead AI Engineer
Навыки
- AI-агенты
- AI-инструменты в работе
- API (интеграции)
- AWS
- Azure
- CI/CD
- Databricks
Ещё 14
- Docker
- Google Cloud
- Grafana
- Kubernetes
- Лидерство
- LLM
- Инференс LLM
- Machine Learning
- MLOps
- Мониторинг и observability
- Prometheus
- RAG
- Маршрутизация и NAT
- SOLID и паттерны
О компании и продукте
- Devoteam is an AI-driven tech consulting firm specializing in cloud platforms, cybersecurity, data solutions, and sustainability
- In Luxembourg , part of a regional Benelux entity , we are a strong workforce of almost 150 professionals, including an Innovative Tech Department: a focused group of around 40 specialists in cutting-edge technologies
Задачи
- As a Lead AI Engineer , you will lead Generative AI missions for our clients end-to-end — from proof of concept to production — acting as the technical reference on autonomous agents, LLM deployment, and cost-efficient GenAI architectures
- Here's what that looks like in practice : an empty repo, a client's business need, and a couple of weeks to prove the idea holds
- You build the POC yourself, the client is convinced — now hundreds of their employees want it on their desk every morning
- You add single sign-on and roles, quotas so nobody drains the budget in an afternoon, an evaluation harness that flags quality drift, and pipelines that ship new versions without waking anyone up
- Same person, same architecture, from first prototype to the service the client relies on
- Your key responsibilities
- AI Engineering & Agentic Workflows : design and lead the implementation of autonomous AI agents, multi-agent orchestration (LangGraph, CrewAI), and RAG pipelines with complex API integrations, on client missions
- Hybrid LLM Deployment : define deployment strategies across managed cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and open-weight models (Llama, Mistral) served on GPU infrastructure via vLLM or TGI
- LLMOps, Monitoring & Evaluation : design observability for GenAI applications — quality, latency, hallucination detection — using tools such as LangSmith, Arize, or Prometheus/Grafana
- AI FinOps : control cost across client AI projects through token management, prompt routing, caching, and GPU resource optimization
- Technical Leadership : standardize containerization (Docker, Kubernetes) with client teams, mentor delivery engineers, and communicate the technical vision to client stakeholders
Требования
- 5+ years of overall professional experience, including hands-on delivery of GenAI/LLM projects in production
- Deep expertise building agentic workflows and RAG pipelines (LangChain, LlamaIndex, LangGraph, or equivalent)
- Strong practical experience deploying and serving open-source models (Llama, Mistral) on GPU-accelerated infrastructure
- Solid understanding of LLMOps practices, model evaluation, and GenAI monitoring tools
- Good working knowledge of vector databases (Qdrant, Pinecone, Milvus, or equivalent) and Docker/Kubernetes
- Comfortable framing client needs directly and leading technical design on client-facing missions
- Fluency in both French and English is mandatory
- With nearly 30 years of tech-native expertise, we guide businesses through sustainable digital transformations to deliver tangible value
- Present in over 25 countries across Europe, the Middle East, and Africa, and powered by over 11,500 collaborators, Devoteam is committed to leveraging technology to serve people
- Embracing a vendor-agnostic approach, this team cultivates deep expertise across diverse cloud providers, open-source technologies, and other innovative tools, enabling us to craft tailored solutions that best fit our clients' needs
Будет плюсом
- Prior exposure to modern data platforms, particularly Databricks, and general data engineering pipelines
- Practical knowledge of DevOps/CI-CD methodologies applied to ML (MLOps)
- Experience with native AI/ML services across major cloud platforms (Azure, GCP, AWS)
- Cloud AI certifications (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer)
- A track record of contributing to open-source AI projects or leading technical communities
- Life at Devoteam ✨
- Join a community where technology meets humanity
- we believe that a job should be more than just a to-do list, it should be a place where you grow, connect, and make an impact
- with us, you will find
- 🚀 A playground for innovation: you will work with the latest GenAI stack to build future-proof solutions for our clients
- this is your chance to stay ahead of the curve
- 🤝 A culture of connection: we are 140+ tech enthusiasts from 27+ countries and 900+ from Benelux
- we don't just work together, we celebrate diversity and win together
- 📈 Continuous growth: between our Training Center, certifications, and mentoring, we take your development seriously
- your ambition sets the pace
- 🌱 Meaningful impact: through the Devoteam Foundation, your skills can serve social causes and sustainability initiatives
- Who thrives here? 💡
- We are looking for problem-solvers who turn challenges into elegant solutions and curious minds who never stop learning
- if you love combining deep technical work with human interaction, you will fit right in
- If you do not feel fully confident that you meet the requirements above, please don't worry
- Just apply
- Together we'll discover what you can bring to the table, in which role you would fit best and how you could potentially grow at Devoteam
- Devoteam stands for equal opportunities
- We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization
- All our positions are open to people with disabilities
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Появилась в Вакандии26 дней
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Формат работыОфис
ГеографияKoerich, Люксембург
Зарплата≈ 25 500 USD в месяцнаша оценка, в вакансии не названа
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