AI Staff Engineer at Software Defined Automation GmbH

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, React, TypeScript, LLM, Anthropic Claude, AWS Bedrock, Agent Orchestration, RAG, Griptape, LangChain, AWS Lambda, DynamoDB, SQS, EventBridge, API Gateway, Prompt Engineering

Industry

Industrial Automation

Description

Description We built Factory Agent in 2023 — the world’s first AI that reads, understands, and documents industrial control code. Now we need engineers obsessed with pushing AI into the physical world. This isn’t another chatbot job. SDA sits at the intersection of AI and the physical world. We work with Henkel, Cytiva, Pepsi, SEW-EURODRIVE and other global leaders to bring AI-powered intelligence to the factory floor. We’re opening our Boston hub to build a team of relentless engineers defining the next chapter of Physical AI. 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 standards Industrial 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

Responsibilities

The role involves owning the AI stack by designing and shipping LLM-powered industrial AI microservices using tools like Anthropic Claude or AWS Bedrock, while also architecting the AI platform direction for agents and model integration. Additionally, the engineer will own the frontend experience and lead/mentor the growing Boston team.