Engineer the connective tissue between Agentic AI and physical lab systems building practical integrations with robotic platforms, analytical instruments, and data pipelines.
Design agent workflows that reason over experimental data, trigger automated actions, and surface insights to scientists.
Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration.
Partner with automation engineers and scientists to transition prototypes into reliable lab operations.
Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices.

Requirements

PhD (or MS + 2 yrs / BS + 5 yrs equivalent experience) in Chemical / Mechanical Engineering, Robotics, Computer Engineering, or related discipline with demonstrated wet-lab automation experience.
Demonstrated experience with laboratory automation systems and LIMS engineering
Direct experience integrating software control and/or AI systems with lab automation platforms (liquid handlers, analytical instruments, robotic workflows)
Strong experience with containerization (Docker) and Kubernetes-based orchestration in production environments
Experience building scalable and production-level python applications using tools like Redis, FastAPI, flask/streamlit, pytest, etc. (GitHub portfolio a plus)

Benefits

Health insurance
401(k) matching
Pension
Vacation benefits
Medical, dental, vision, and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

roboticsAI systems integrationwet-lab automationcontainerizationPythonDockerKubernetesGitOpsCI/CDLIMS engineering

Certifications

PhDMSBS