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 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 explicit 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)
🏢 DataEconomy
📍 Hyderabad