GEN AI Sr Lead

Birlasoft; Dadri; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Birlasoft is seeking a Sr Data Science Lead (GEN AI Developer) to lead GenAI initiatives across Noida, Pune, Mumbai, Bengaluru, Hyderabad. The role demands extensive experience in data science, AI/ML, NLP, and GenAI development, with strong skills in Python, FastAPI, and cloud platforms.

You will collaborate with cross-functional teams to deliver advanced AI solutions for business needs. The candidate should be adept at building scalable architectures, implementing prompt engineering techniques,

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 – LangGraph, LlamaIndex, MCP, Tools register, intent based routing.
• Expert in using paid and open source LLMs, VLM, SLM.
• Strong understanding of RAG, Knowledge Graph RAG, RAG Fusion, Agents, NLQ to SQL.
• Experience with Python, FastAPI, and other languages.
• Experience with AWS/Azure ecosystem; Kubernetes and serverless deployments.
• Prominent knowledge of prompt engineering techniques for instruction-based LLMs.

Responsibilities

• Develop and lead GenAI driven solutions and architectures.
• Collaborate with cross-functional teams to identify business requirements and deliver scalable AI solutions.
• Deploy and optimize generative models in production with a focus on scalability and performance.
• Ensure guardrails for LLMs using both open source and cloud-native models.
• Lead data handling across unstructured and data lake formats and support RDBMS/NoSQL databases.

Skills

GenAI development

NLP technologies

Problem solving

Python programming

FastAPI

Prompt engineering

Tools

LangGraph

LlamaIndex

MCP

Tools register

intent based routing

OpenAI on Azure

Bedrock on AWS

LLMs

VLM

SLM

Kubernetes

Job description

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