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Tech Lead

Tech Lead

Indegene

5 - 8 years

25 - 30 Lacs

Bengaluru

Posted:5 hours ago| Platform:

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Skills Required

Research Lead Prototype orchestration GCP Schema Healthcare Research Monitoring Auditing Python

Work Mode

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Job Type

Full Time

Job Description

Title: Tech Lead

Date: 4 Jul 2025

Location:

Bangalore, KA, IN

Job Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com

Looking to jump-start your career

We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene s high-speed growth.

We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

If this excites you, then apply below.

Role: Research lead - Agentic AI & Advanced RAG

Role Type: AI Research & Innovation

Description: We are looking for a curious, experimental, and technically deep Research Lead to shape the future of our Agentic AI and Advanced RAG platforms. You will lead PoCs involving Schema RAG, Knowledge Graphs, MCP, and multi-agent task orchestration.

Responsibilities - Prototype LLM-based agents using LangChain/DSPy - Research and validate Schema RAG, Multi-RAG, and contextual prompt memory - Implement and test Model Context Protocol across A2A communication flows - Integrate taxonomies and ontologies with vector DBs and prompt retrieval - Publish internal papers, evaluate prompt safety, and support productization

Must Have

Experience: 5-8 years

Tech Stack
- Python, LangChain, OpenAI APIs, HuggingFace, DSPy - Streamlit, Neo4j, pgvector, Redis, FastAPI Cloud & Deployment AWS (Bedrock, Sagemaker), Azure AI Studio, GCP AI Platform AI Tools & Productivity Stack GitHub Copilot, Langfuse, Code review agents Security & Compliance Prompt safety, guardrail evaluation, hallucination monitoring, audit trail

Good to have

Innovative thinker, research-oriented, strong communicator, collaborative, self-starter

EQUAL OPPORTUNITY

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