Ingénieur IA / GenAI – LLM, RAG & Agents IA Dans le cadre d'un projet autour de l'IA générative, nous recherchons un Ingénieur IA / GenAI pour concevoir, développer et industrialiser des solutions basées sur les LLM et les agents IA. Vos missions : Concevoir et développer des solutions GenAI / LLM Développer des agents IA et workflows agentiques Concevoir et implémenter des architectures RAG Intégrer les modèles IA aux applications via API Développer principalement en Python Travailler sur le prompt engineering et l'orchestration des LLM Mettre en place embeddings et bases vectorielles Évaluer la qualité, la performance et la fiabilité des réponses Industrialiser les solutions : CI/CD, monitoring, sécurité et observabilité Accompagner les POC jusqu'à leur mise en production Compétences recherchées : Python LLM / GenAI RAG Agents IA / Agentic AI LangChain / LangGraph ou équivalent OpenAI / Azure OpenAI / Anthropic / modèles open source FastAPI / APIs REST Vector databases / embeddings Docker, Git, CI/CD MLOps / LLMOps apprécié Fine-tuning / PEFT / LoRA apprécié 📍 Île-de-France / Hybride 📅 Mission longue durée
Sector: Fintech / Asset Management Technology Location: Luxembourg Contract: Full-time, Permanent (CDI) Platform: Distributed Ledger Technology (DLT), Cloud-Native Infrastructure THE ROLE You will design, build, test, and deploy scalable, resilient software on a DLT-based platform, owning backend services and blockchain integration with clean, maintainable code. Key responsibilities: Shape architecture for new services and platform enhancements Drive best practices: CI/CD, automated testing, code reviews, Agile delivery Mentor junior developers and support the full product lifecycle, from concept to production Connect legacy systems to modern platforms via APIs REQUIRED EXPERIENCE 10+ years in professional software development, including 3+ years in a lead developer role Strong grounding in distributed systems, microservices, and API design Agile/Scrum experience Fluent English; French is a plus Right to work in Luxembourg TECHNICAL STACK Languages: Go, Java, Node.js, or Python DLT / Blockchain: Ethereum or permissioned platforms (e.g., Consensys Quorum) a strong asset Cloud: Microsoft Azure preferred APIs: RESTful and event-driven services Containers: Docker, Kubernetes Databases: SQL and NoSQL IaC / CI-CD: Terraform, Ansible Nice to have: SWIFT, SFTP, or FIX connectivity experience
Devops Architect – New York We are recruiting for a Devops Architect for a Client in New Jersey New York. Job Description: - Developing proof of concepts and proposing solutions to architecture and tech leads. - GIT Lab, Jenkins, Chef, Puppet, IBM & AWS Cloud & internal stuff, ETL layer on top of groovy which they want to get off of, Marclogic code base, X-query, redis for cashing. - Participate in deployment & configuration of the application as needed - Understands servers and databases and related architecture requirements and ensures those requirements can be achieved and maintained through high-quality deliverables. - Development and maintenance of the automation suites for solid, reliable, and scalable deployment of cloud and network assets. - Testing and qualification of automation suites in pre-deployment scenarios. - Experience with micro service and/or event-driven architecture. - Strong grasp of automation and monitoring tools (Travis, Jenkins, etc.) - Experience using containerization technologies (Docker, Kubernetes, Mesos or Vagrant) - Knowledge of tools like Chef, Puppet - Strong knowledge and understanding of CI/CD processes and tools - Docker and related orchestration technologies 3 to 6 month contract assignment. Please send your CV to us in Word format along with your hourly rate in $ USD and along with your availability.
Data Scientist and Python Software Developer - London We're looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well engineered products. The products provide an intuitive way for retailers and suppliers to interact and consume 'big data' analytics to make better business decisions. This role would consist of working together with a team of statistical analysts, understanding their methodologies and algorithms, and turning them into production ready code written in Python. This role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with REST API's Any of the following skills would be an added bonus: Has run code across Hadoop/MapReduce clusters Has code running in a production environment Used SAS before (or at least can decipher SAS code) Worked with very large data sets before (billions of records) Knowledge of SQL/NoSQL database Knowledge or experience in D3.js Experience acting as a mentor/trainer in Python This is 6 month assignment in London with travel to Paris and Munich. Please send your CV to us in Word format along with daily rate and availability.
