Gen AI platform Engineer

About

The Role

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.

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.

• Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent practical experience.
• 5-8 years of professional software engineering experience.
• 2+ years of hands-on experience building GenAI/Agentic AI applications in production.

• Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, Agent Core, Lang Chain, and Lang Graph.
• 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.

• Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
• Hands-on experience with LLMs, Amazon Bedrock (Agents & Agent Core), Lang Chain, Lang Graph, 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 (Git Hub Actions, Git Lab 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, Agent Core, Lang Chain, Lang Graph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
• Vector Databases:
  Pinecone, Amazon Open Search Vector Engine, FAISS, ChromaDB, pgvector
• Infrastructure as Code:
  Terraform, AWS Cloud Formation (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 )
• CI/CD & Dev Ops:
  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

• AWS Associate or Professional certification.