AI Staff Engineer
TLDR
Lead the full AI stack for industrial AI, shipping microservices and a React frontend, while mentoring a growing team and engaging global manufacturers.
Description
Responsibilities
Own the AI stack. Ship to production. Lead the team.01. Build LLM-Powered Industrial AI — Design and ship AI microservices on Anthropic Claude / AWS Bedrock with real agent orchestration, tool use, and RAG at enterprise scale.
02. Architect the AI Platform — Set technical direction on prompt engineering, agent design, evaluation frameworks, and model integration.
03. Ship the Frontend Experience — Own the React + TypeScript interface thousands of industrial engineers rely on daily.
04. Lead & Grow the Boston Team — Mentor engineers, run code reviews, build the culture. You’re the technical anchor for a fast-scaling team.
05. Go Deep with Customers — Present to plant managers and CTOs at the world’s largest manufacturers.
06. Push the Boundaries — Expand capabilities, prototype what’s next for Physical AI.
We offer
Physical AI, Not Chatbots — your code controls assembly lines, filling machines, robotic arms.Ground Floor in Boston — you’re not joining a team — you’re building one.
Global Enterprise Scale —Customers and Factories on every continent.
Equity in a Rocketship —We’re backed by top-tier VCs who don’t fund small ideas.
Built for Builders — flat hierarchy, fast decisions, flexible hours.
Basic Qualifications
5+ years shipping software — Python, React, TypeScript. You write code daily and it shows.Hands-on LLM experience — tool use, function calling, RAG, prompt engineering, agent orchestration.
Experience with Anthropic Claude models or AWS Bedrock
Experience with AI agent frameworks — Griptape, LangChain, or similar orchestration libraries.
AWS-native — Lambda, DynamoDB, SQS, EventBridge, API Gateway.
Leadership DNA — you’ve led small teams and know how to elevate everyone around you.
Startup velocity — you thrive in ambiguity, ship fast, learn faster.
Communication — explain transformers to a plant manager and factory automation to an investor.
Preferred Qualifications
MCP (Model Context Protocol) or emerging AI integration standardsIndustrial background — Siemens, Rockwell, Beckhoff, CodeSys or IIoT/MES
GraphQL fluency — consuming and designing APIs
German language skills (our roots are in Germany)
E2E testing with Playwright
Benefits
Equity Compensation
Equity in a Rocketship —We’re backed by top-tier VCs who don’t fund small ideas.
Flexible Work Hours
flexible hours
Fast decision-making
fast decisions
Remote-Friendly
Ground Floor in Boston — you’re not joining a team — you’re building one.
Software Defined Automation is an industrial deep tech software company that facilitates Manufacturing-as-Code, automating the configuration and operation of production plants to enhance resource efficiency. By collaborating with industry leaders and harnessing AI, SDA is pioneering self-optimizing production solutions at the intersection of AI and manufacturing.