Senior GenAI Platform Engineer: AWS Multi-Agent

DATAECONOMY Inc; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

DATAECONOMY Inc. in Boston, MA is seeking a Senior GenAI Platform Engineer to design and operate an enterprise AI agent platform.

You will work hands‑on in code, building durable asynchronous orchestration, RAG pipelines, and secure multi‑agent workflows on AWS as an individual contributor. Responsibilities include creating backend services with FastAPI, implementing idempotent dispatch, writing Terraform, and integrating with vector DBs and messaging systems.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5–8 years of professional software engineering experience.
• 2+ years of hands‑on 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 expert

REST API design

Distributed systems

Education

Bachelor's degree in CS/IS/Engineering

5-8 years software engineering

2+ years GenAI production

Tools

FastAPI

Terraform

Docker

AWS

Kafka/SQS

LangChain

Bedrock

Vector DBs

Job description

DATAECONOMY Inc. in Boston, MA is seeking a Senior GenAI Platform Engineer to design and operate an enterprise AI agent platform.

You will work hands‑on in code, building durable asynchronous orchestration, RAG pipelines, and secure multi‑agent workflows on AWS as an individual contributor. Responsibilities include creating backend services with FastAPI, implementing idempotent dispatch, writing Terraform, and integrating with vector DBs and messaging systems.