Job Title: Senior GenAI Platform Engineer
Experience Level: 5 - 8 years
Location: Hyderabad
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We're looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform — hands-on, in the code, every day. This is an individual contributor role with no direct reports. You'll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You'll participate in architecture discussions and code reviews as a robust technical contributor, not as a manager.

Key Responsibilities:

Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph.
Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails.
Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status tracking.
Implement queue-based dispatch and durable state stores, ensuring idempotency, retries, and failure recovery.




Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
Integrate agents with vector databases, enterprise messaging systems, and internal workflow tools.
Instrument services for observability — structured logging, tracing, metrics.
Participate in code reviews and architecture discussions as a peer contributor.
Write clear technical documentation (design docs, runbooks) for systems you build.

Requirements

Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
Hands-on experience with LLMs, Amazon Bedrock (Agents & AgentCore), LangChain, LangGraph, RAG, and vector databases.
Strong experience with core AWS services: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
Working proficiency in Terraform and Docker.
Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
Solid understanding of asynchronous programming and event

📌 Senior GenAI Platform Engineer (Hyderabad)
🏢 DataEconomy
📍 Hyderabad