Lead GenAI Developer

Indegene Inc.; Bengaluru; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Indegene Inc. in Bengaluru seeks a seasoned Full Stack Developer to design scalable backend services and AI-powered pipelines.

You will build with Python, FastAPI, React/Next.js, and deploy on AWS, embracing vector DBs and multi-agent orchestration. Collaboration across teams drives product engineering at healthcare-tech convergence.

Formación

• 5–7 years of experience as a Full Stack Developer in product engineering.
• Strong expertise in Python and backend frameworks like FastAPI or Flask.
• Experience with Agentic AI frameworks (LangGraph, LangChain, Bedrock Agents, Strands).
• Hands-on with React / Next.js for UI.
• Experience with Vector Databases and retrieval workflows.
• Solid understanding of LLM integration, embeddings, tokenization, and prompt lifecycle.
• Experience with AWS cloud services, containerization, and CI/CD pipelines.

Responsabilidades

• Design and develop scalable backend services using Python, FastAPI, AWS Lambda, or container-based architectures.
• Build and integrate agentic AI pipelines using LangChain / LangGraph, Bedrock, and multi-agent orchestration patterns.
• Develop responsive UI using React / Next.js, TypeScript, TailwindCSS or Material UI.
• Integrate frontend with backend via REST / WebSockets / GraphQL.

Educación

BE / BTech / BCA / MTech / MBA

Herramientas

Python

FastAPI

Flask

React

Next.js

TypeScript

TailwindCSS

Material UI

AWS

Docker

CI/CD

LangChain

LangGraph

Bedrock Agents

Strands Framework

Milvus

Chroma

GraphQL

WebSockets

REST API

Vector retrieval

Descripción del empleo

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.

Job Description

Design and develop scalable backend services using Python, FastAPI, AWS Lambda, or container-based architectures.

Build and integrate agentic AI pipelines using

• LangChain / LangGraph
• Amazon Bedrock
• Strands Framework
• Multi-agent orchestration patterns
• Chunking strategies
• Vector search & retrieval
• Work with Vector Databases - Milvus, Chroma.
• Integrate with LLMs, embedding models, and custom model endpoints.
• Implement workflow automation, messaging queues, event triggers, and caching layers.
• Ensure robust API development with logging, monitoring, rate limiting, authentication & authorization.

Develop responsive and modern UI using:

• React / Next.js
• TypeScript
• TailwindCSS / Material UI

Integrate frontend with backend services via REST / WebSockets / GraphQL.

Core Technical Skills

• 5–7 years of experience as a Full Stack Developer in product engineering.
• Strong expertise in Python and backend frameworks like FastAPI or Flask.
• Experience with Agentic AI frameworks (LangGraph, LangChain, Bedrock Agents, Strands).
• Hands-on with React / Next.js for UI.
• Experience with Vector Databases and retrieval workflows.
• Solid understanding of LLM integration, embeddings, tokenization, and prompt lifecycle.
• Experience with AWS cloud services, containerization, and CI/CD pipelines.

Qualifications

• AI - Data Science BE/ Btech/ BCA/ Mtech / MBA )