Job Title - Gen AI Lead
Experience - 10+ Years
Location - Beerse, Flemish Region, Belgium
* Must have 10+ years of experience. Mostly in Data science, AI ML, GenAI and NLP technologies.
* At least 2+ years in GenAI application development
* Experts in problem solving, developing technical solutions
* Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, Function calling, Chain of thoughts, MCP, Tools register, intent based routing etc.
* Expert in using paid (OpenAI on Azure, Bedrock in AWS, other leading one) and open source LLMs, VLM, SLM etc
* Expert in RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP, NLQ to SQL etc.
* Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
* Experience with multiple leading Vector DB, chunking strategies, Graph DB (Neo4J)
* DAR for applying best solution for problem statements
* Experience in multi Agents system development, Agentic AI
* Experience with Python programming language. Should know other languages too
* Ability to develop Python code efficiently, FastAPI
* Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
* Enforce reusable component development and sharing across solutions
* Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
* Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
* Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
* Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
* Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
* Experience developing Guardrails for LLMs both with open source and cloud native models.
* Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
* Experience in RDBMS database, Data Lake, Postgresql
* Experience on Marklogic / No SQL database
* Experience on Elastic search