Senior GenAI Platform Engineer: Build AI Agent Platform

DATAECONOMY; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

DATAECONOMY in Boston seeks a Senior GenAI Platform Engineer to build and operate an enterprise AI agent platform. This IC role focuses on durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS.

You will design and implement backend services (FastAPI), vector databases, and integrations with Bedrock, LangChain, and LangGraph, while ensuring observability and robust CI/CD practices.

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 Bedrock, AgentCore, LangChain, and LangGraph.
• Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails.
• Build backend services in FastAPI for agent submission and lifecycle state machines.
• Implement queue-based dispatch and durable state stores with idempotency and retries.
• Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
• Integrate agents with vector databases, 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 design docs and runbooks for the systems you build.

Skills

Python

REST APIs

LLMs

Bedrock/LangChain/LangGraph

RAG pipelines

AWS services

Terraform

Docker

CI/CD

Kafka or SQS

OAuth2/OIDC/JWT

Education

Bachelor's degree in CS/Eng/IS

Tools

Terraform

Docker

GitHub Actions

GitLab CI

Jenkins

Kubernetes/ECS/EKS

Kafka

SQS

Job description

DATAECONOMY in Boston seeks a Senior GenAI Platform Engineer to build and operate an enterprise AI agent platform. This IC role focuses on durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS.

You will design and implement backend services (FastAPI), vector databases, and integrations with Bedrock, LangChain, and LangGraph, while ensuring observability and robust CI/CD practices.