Key Responsibilities

Lead, coach, and manage a team of ~10 engineers, including backend, AI/ML, and cloud engineers.

Drive execution of product development initiatives from design to deployment.

Conduct performance reviews, support hiring initiatives, and foster a culture of ownership and engineering excellence.

GenAI & Agentic AI Development

Implement and enhance Agentic AI architectures using Strands, LangGraph, and autonomous agent patterns.

Build and optimize RAG-based systems, enterprise knowledge engines, and multimodal LLM pipelines.

Evaluate and leverage appropriate foundation models such as Gemini, GPT, Claude, Opus 4.6 based on use case fit.

Guardrails, Safety & Responsible AI

Design, implement, and continuously refine LLM guardrails, including:

Input/output filtering

Content moderation

Hallucination reduction strategies

Response validation

Lead hands-on architecture and development on AWS using services such as Lambda, S3, DynamoDB, API Gateway, Step Functions, ECS/EKS





Technical Execution & Collaboration

Contribute to system architecture, code reviews, and design decisions.

Build scalable microservices and AI integration layers using Python (FastAPI preferred).

Work cross-functionally with Product, QA, DevOps, and CloudOps teams to deliver enterprise-grade AI solutions.

Required Skills & Experience

Technical Expertise

10+ years in software engineering and product development.

Proven experience managing 10+ engineers.

Hands-on experience with:

Agentic AI frameworks: Strands, LangGraph

Amazon Bedrock and multimodel integrations

RAG pipelines, embeddings, vector databases

Python (advanced proficiency) and microservices

AWS Cloud architecture and development

Robust understanding of major LLM families: Gemini, GPT, Claude, Opus 4.6.

📌 Engineering Manager (Bengaluru)
🏢 Indegene
📍 Bengaluru