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 solid
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-driven architectures
(Kafka or SQS).

- Experience
with modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.

- Programming: Python , FastAPI

- Generative AI: Amazon Bedrock, Bedrock
Agents, AgentCore, LangChain, LangGraph, Prompt Engineering,
Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems

- Vector Databases: Pinecone, Amazon
OpenSearch Vector Engine, FAISS, ChromaDB, pgvector

- Infrastructure as Code: Terraform, AWS
CloudFormation (preferred exposure)

- Containers & Orchestration: Docker

- Databases: PostgreSQL, DynamoDB

- Event-Driven Architecture: Amazon SQS,
Apache Kafka

- Authentication & Security: OAuth 2.0,
OpenID Connect (OIDC), JWT, AWS IAM, Enterprise Identity Integration (Microsoft
Entra ID)

- CI/CD & DevOps: Git, Automated Deployment Pipelines

- Observability: AWS Observability

- Software Engineering: System Design,
Microservices Architecture, Backend Development, API Design, Code Reviews,
Technical Documentation, Design Documents, Runbooks

- Development Practices: Unit Testing,
Integration Testing, Code Quality, Secure Coding Practices, Agile/Scrum

Benefits

- Comprehensive Medical Coverage:

Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.

- Robust Protection Plans:

Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.

- Retirement Benefits:

PF and Gratuity provided as per standard government regulations.

- Flexible Work Options:

Enjoy hybrid work arrangements & flexible working hours

- Generous Leave Policy:

21 days of annual leave, in addition to 10 company-declared holidays.

- Employee Well-being Spaces:

Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.

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