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Posted 1w ago

Contractor (BELGIUM - CUST SITES, BE)

@ Birlasoft
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Belgium
OnsiteContract
Responsibilities:developing solutions, deploying models, collaborating teams
Requirements Summary:10+ years in data science, AI/ML, GenAI; 2+ years GenAI app development; strong problem solving; experience with Agentic AI frameworks; extensive LLM/VLM/SLM expertise; RAG/Knowledge Graph; multi-agent systems; Python and FastAPI; AWS/Azure; Kubernetes; prompt engineering; experience with data lakes, RDBMS, and NoSQL databases.
Technical Tools Mentioned:Python, FastAPI, AWS, Azure, Kubernetes, LangGraph, LlamaIndex, Function calling, Chain of thoughts, MCP, Tools register, Intent based routing, OpenAI on Azure, Bedrock AWS, Vector DB, Neo4J, RAG, Knowledge Graph, PostgreSQL, MarkLogic, Elasticsearch
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Job Description

About Us:
Birlasoft part of the multibillion-dollar CK Birla Group is a global leader in Cloud AI and Digital technologies With professionals worldwide we combine domain expertise with enterprise solutions to enhance business efficiency and productivity Our consultative and design-thinking approach empowers societies globally while continuing the Groups heritage of building sustainable communities

GEN AI Lead 

  • 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