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 asynch

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