Senior GenAI Platform Engineer

Job_Description

**Job Title: **Senior GenAI Platform Engineer
Experience Level: 5 - 8 years ****Location: Hyderabad

**Qualification: BTech/MTech/MCA ****Mode of Work: Hybrid **Were 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. Youll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. Youll participate in architecture discussions and code reviews as a strong 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)********************

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