AI Engineer
Core
Building reliable AI infrastructure for manufacturing systems, including MCP servers, observability tools, and retraining pipelines.
Role type
AI Engineer (ML Infrastructure & Observability)
Builds
MCP servers, telemetry dashboards, retraining pipelines, and developer tooling for AI systems
Domain
Manufacturing / Industry 4.0 / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Machine learning fundamentals, LLMs in production, agentic coding workflows, server development, containerization, software engineering fundamentals
Preferred skills
MLOps tools, observability tools, Python, AI frameworks
Technologies
Docker, Kubernetes, Prometheus, Grafana, PyTorch, TensorFlow, LangChain
Responsibilities
Implement and maintain MCP servers connecting LLMs to manufacturing tools; Design and implement telemetry systems for model behavior tracking; Build data collection pipelines for model retraining; Write clean, testable code and contribute to CI/CD processes; Monitor and tune AI systems for performance and safety
Seniority
Junior to Mid-level, hands-on IC
