GEN AI Sr Lead

Birlasoft

Dadri

On-site

INR 3,500,000 - 7,000,000

Full time

18 hours ago
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Job summary

Birlasoft is seeking a Sr Data Science Lead (GEN AI Developer) to drive GenAI projects across Noida/Pune/Mumbai/Bengaluru/Hyderabad. The role requires 8+ years in data science and at least 2+ years in GenAI development.

You will work with LangGraph, LlamaIndex, MCP, and cloud AI services to build scalable AI solutions. The ideal candidate will be proficient in Python, FastAPI, and integrating LLMs with data lakes and RAG techniques, collaborating with cross-functional teams to meet business

Qualifications

  • 8+ years of experience in Data Science, AI/ML, GenAI and NLP technologies.
  • At least 2+ years in GenAI application development.
  • Experience with Agentic AI frameworks and tools like LangGraph, LlamaIndex, MCP, Tools register, and intent-based routing.
  • Expertise with paid and open-source LLMs, VLMs, SLMs, and knowledge of RAG, CAG, and RAG Fusion concepts.
  • Experience handling large unstructured data and data lakes, plus relational databases like Postgres and NoSQL like Marklogic.
  • Strong Python programming skills; ability to develop Python code efficiently and with FastAPI.

Responsibilities

  • Develop and lead GenAI applications and AI/ML solutions.
  • Collaborate with cross-functional teams to identify business problems and deliver AI-driven outcomes.
  • Deploy and optimize generative models in production considering scalability and efficiency.
  • Implement guardrails for LLMs using open source and cloud-native models.
  • Contribute to data governance with RDBMS and data lake technologies.

Skills

GenAI development
Python programming
Prompt engineering
Model development & training
Agents development
RAG & Knowledge Graphs
Cross-functional collaboration
LLM deployment & optimization
Data lake & big data

Tools

LangGraph
LlamaIndex
MCP
Bedrock (AWS)
OpenAI on Azure
Kubernetes
FastAPI
PostgreSQL
ElasticSearch
Marklogic

Job description

Area(s) of responsibility

Role - Sr Data Science Lead(GEN AI Developer)

Location - Noida/Pune/Mumbai/Bengaluru/Hyderabad

Notice Period - Only Immediate joiners with be consider

  • Must have 8+ 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, MCP, Tools register, intent based routing etc.
  • Expert in using paid (OpenAI on Azure, Bedrock in AWS) 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
  • DAR for applying best solution for problem statements
  • Strong understanding of Agents development
  • 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
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