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 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.