You’ll work on production ML systems and backend services that integrate with product data via modern APIs and Model Context Protocol MCP tooling
Job Summary
You’ll work on production ML systems and backend services that integrate with product data via modern APIs and Model Context Protocol MCP tooling.
The role blends machine learning data science, LLM agentic workflows and code generation, and software engineering to deliver reliable, scalable functionality to our customers.
We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
Matching Summary
You’ll work on production ML systems and backend services that integrate with product data via modern APIs and Model Context Protocol MCP tooling.
Skills & Requirements
Must-have
Production ML systems and backend services
LLM agentic workflows and code generation
Implement, integrate, and optimize ML systems
Build production inference pipelines, APIs, and services
Design LLM applications (RAG, tool-calling)
Implement MCP routes, schemas, and integrations
CI/CD, testing, observability, and monitoring
Nice-to-have
Teamwork and independent learning
Data modeling and optimization
Reinforcement learning and simulation
Multi-tenant SaaS ML systems
AEC or civil industry experience
Key Requirements
5+ years combining software development and AI/ML
Bachelor’s or Master’s in CS/Engineering/Data Science or equivalent experience
Experience with ML libraries (scikit-learn, PyTorch, Ray)
Experience building with APIs, services, containers, CI/CD
Familiarity with time-series/sensor/simulation data