Generative AI Engineer (Python) – LLM Orchestration & MLOps

La Fosse; Brussel Hoofdstad; Sur place; EUR 85 000 - 125 000; Plein temps

Résumé du poste

La Fosse in Brussels is seeking a senior AI/ML engineer to own end-to-end data and AI workflows. You will design and optimize Python/SQL pipelines, implement RAG and hybrid search solutions, and orchestrate complex LLM workloads.

You will work with LangChain, LangGraph, and other frameworks to build production-grade AI systems, ensure reliability, scalability, and cost efficiency across AWS/Azure/GCP environments.

Qualifications

• Advanced Python and SQL proficiency with production queries and large-scale data joins.
• Experience with at least two Generative AI components: RAG, hybrid search, and result re-ranking.
• Agentic AI workflows using frameworks like LangGraph, CrewAI, AutoGen, or similar orchestration platforms.
• Model fine-tuning and PEFT techniques (LoRA, QLoRA) for open-source and proprietary models.
• Deployment and management of vector databases (Pinecone, Weaviate, FAISS, etc.) in production.
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel).
• Strong ML foundation: feature engineering, model selection, experimentation and evaluation.
• Cloud engineering across AWS, Azure, or GCP with AI/ML workloads (SageMaker, Vertex AI).
• Solid software engineering: testing, version control, modular architecture, and Git workflows.
• MLOps/DevOps tooling: Docker and CI/CD (GitHub Actions, GitLab CI, Azure DevOps).
• Workflow orchestration tools (Airflow, Prefect, Dagster).
• Container orchestration (Kubernetes).
• AI monitoring/observability tools (Langfuse, Arize, MLflow, Weights & Biases).

Connaissances

Python

SQL

Generative AI

RAG

LangChain

LLM orchestration

MLOps

Docker

Kubernetes

Cloud platforms

Outils

LangGraph

LlamaIndex

Semantic Kernel

Weaviate

Pinecone

Qdrant

pgvector

FAISS

Description du poste

La Fosse in Brussels is seeking a senior AI/ML engineer to own end-to-end data and AI workflows. You will design and optimize Python/SQL pipelines, implement RAG and hybrid search solutions, and orchestrate complex LLM workloads.

You will work with LangChain, LangGraph, and other frameworks to build production-grade AI systems, ensure reliability, scalability, and cost efficiency across AWS/Azure/GCP environments.