Senior GenAI Platform Engineer

Job Information

• Date Opened: 08/17/2026
• Job Type: Full time
• Industry: IT Services
• Location: Hyderabad, Telangana, India 500059
• Mode of Work: Hybrid

About the Role

Senior GenAI Platform Engineer

Experience Level: 5 - 8 years

Qualification: BTech/MTech/MCA

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

Core Technical Skills:

• 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

Technical Expertise Areas:

• 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: 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