Senior GenAI Platform Engineer - AWS & RAG Pipelines

DATAECONOMY; Boston (MA); On-site; USD 170,000 - 250,000; Full time

Job summary

DATAECONOMY in Boston seeks a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform—hands-on, in the code, every day.

This role focuses on durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, collaborating with a small team of peer engineers. You will contribute to architecture discussions and runbooks to sustain scalable systems.

Qualifications

• 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.

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.

Skills

Python

REST APIs

Async programming

CI/CD

Security best practices

Education

Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent

Tools

AWS (Lambda, ECS/EKS)

Terraform

Docker

FastAPI

GitHub Actions

Kafka / SQS

OAuth/OIDC/JWT

Job description

DATAECONOMY in Boston seeks a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform—hands-on, in the code, every day.

This role focuses on durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, collaborating with a small team of peer engineers. You will contribute to architecture discussions and runbooks to sustain scalable systems.