Generative AI Developer & Lead

Hyderabad, Greater Noida April 14, 2026 Full Time

We are Hiring Generative AI Developer & Lead ( AWS/Azure & Agentic AI Specialist) at Coforge Ltd.

Experience: 5 to 10 Years
Employment Type: Full-time

Job Locations: Hyderabad & Greater Noida Only.

Apply Now: [email protected]

WhatsApp: 9667427662

Key Responsibilities:-

AWS-Native AI Development: Build and deploy Generative AI applications using Amazon Bedrock, leveraging services like Bedrock Agents, Knowledge Bases, and Guardrails for Bedrock.
Agentic AI Engineering: Design and implement autonomous agent workflows using frameworks like LangGraph, AutoGen, or CrewAI. Develop agents capable of reasoning, multi-step planning, and tool-calling.
API & Microservices: Architect and develop robust RESTful APIs (using FastAPI or Flask) and serverless back-ends via AWS Lambda and API Gateway to expose AI capabilities to web and mobile front-ends.
Cloud Integration: Integrate LLMs with AWS data services, including Amazon S3, AWS Glue, and DynamoDB, to create seamless data pipelines for RAG (Retrieval-Augmented Generation).
Tool & Function Calling: Implement "Function Calling" capabilities, allowing AI agents to interface with external APIs, databases, and software systems to perform real-world actions.
Security & Governance: Configure IAM roles and VPC security for AI workloads. Implement enterprise-grade guardrails to filter harmful content and protect PII.
Performance Tuning: Optimize model inference for latency and cost on AWS, utilizing AWS Step Functions for complex orchestration and CloudWatch for monitoring agent thought-processes.

Key Qualifications:-

Strong proficiency in Python (Boto3, LangChain, LlamaIndex).
Hands-on experience with Amazon Bedrock and Foundation Models (Claude, Llama, Titan).
Proven experience building Agentic workflows (ReAct patterns, multi-agent coordination).
API Development: Expert knowledge of API design principles, authentication (OAuth2/JWT), and asynchronous programming in Python.
Database Knowledge: Experience with Vector Databases (Amazon OpenSearch Serverless, Pinecone,or pgvector) and traditional NoSQL/SQL stores.
DevOps/MLOps: Familiarity with CI/CD for AI applications and monitoring