AI-Driven Lab Integration Engineer

CuspAI

Cambridge

On-site

GBP 70,000 - 110,000

Full time

41 hours ago
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Benefits offered by this job

Equity in CuspAI
28 days holiday (UK)
Professional development budget
Interdisciplinary teamwork
Impactful work in materials science

Job summary

CuspAI in Cambridge, UK, is seeking a Scientific Software Engineer to connect our AI platform with laboratories worldwide. You will shape the software layer of our closed-loop discovery workflow: agents propose experiments, partner labs execute them, and results feed back into models to guide the next steps.

This role sits between lab automation and production engineering. You will design APIs, build scalable integrations with lab instruments, and ensure secure, reliable data exchange across

Qualifications

  • Hands-on experience with lab automation or self-driving labs.
  • Strong backend software engineering experience.
  • Deep fluency in Python, with typed, well-tested code and API design.

Responsibilities

  • Design and build services to connect AI agents with partner labs.
  • Develop APIs and data models for bidirectional lab-to-cloud exchange.
  • Integrate with lab instruments, robotic platforms, LIMS/ELN systems and scheduling software.
  • Ensure reliability at scale: idempotency, retries, queues, monitoring and alerts.
  • Onboard new lab partners and accelerate integrations.

Skills

Lab automation
Software engineering
Python
Distributed systems
Security best practices
Cross-disciplinary collaboration

Tools

FastAPI
Pydantic

Job description

CuspAI in Cambridge, UK, is seeking a Scientific Software Engineer to connect our AI platform with laboratories worldwide. You will shape the software layer of our closed-loop discovery workflow: agents propose experiments, partner labs execute them, and results feed back into models to guide the next steps.

This role sits between lab automation and production engineering. You will design APIs, build scalable integrations with lab instruments, and ensure secure, reliable data exchange across

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