Lab-Integration Software Engineer for AI-Driven Discovery

CuspAI; Greater London; In loco; GBP 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity in CuspAI

28 days holiday UK

Parental leave

Descrizione del lavoro

CuspAI in the United Kingdom is seeking a Scientific Software Engineer to connect our AI platform to physical labs worldwide and to design the software layer of a closed-loop discovery workflow.

You will build APIs, integrate lab instruments and cloud services, and ensure secure, scalable data exchange across partners. You’ll work with scientists, ML engineers and software engineers to bring experiments from idea to validated results.

Competenze

• Hands-on experience with lab automation, self-driving labs or other scientific discovery workflows.
• Strong software engineering background with production experience building and operating backend services.
• Deep fluency in Python, including typed, well-tested code and API design.
• Experience designing distributed systems that integrate with external parties: APIs, message queues or event-driven architectures, and data contracts.
• Solid understanding of security practices for externally facing systems.
• A collaborative mindset: you enjoy working in a small, multidisciplinary team, and can communicate clearly with experimental scientists, optimisation experts and engineers alike.

Mansioni

• Shape how we connect to partner labs worldwide, accounting for different levels of automation and AI-readiness, then design, build and operate the services that send experiment requests from our AI agents and reliably bring results back.
• Build APIs and data models (e.g. FastAPI, Pydantic) for bidirectional lab-to-cloud data exchange.
• Integrate with lab instruments, robotic platforms, LIMS/ELN systems and scheduling software, translating between disparate formats and CuspAI's data platform.
• Make integrations reliable at scale: idempotency, retries, queueing, monitoring and alerting across many partners and time zones.
• Assist with the technical onboarding of new lab partners, assessing their systems and setting up integrations quickly and repeatedly.
• Collaborate day to day with experimental materials scientists, optimisation experts and engineers on the team, co-designing workflows and feeding lab realities back into platform design.
• Deploy and run containerised services on cloud infrastructure, with testing and CI/CD as standard.

Conoscenze

Lab automation

Backend engineering

Python expertise

Distributed systems

Security practices

Collaborative mindset

Descrizione del lavoro

CuspAI in the United Kingdom is seeking a Scientific Software Engineer to connect our AI platform to physical labs worldwide and to design the software layer of a closed-loop discovery workflow.

You will build APIs, integrate lab instruments and cloud services, and ensure secure, scalable data exchange across partners. You’ll work with scientists, ML engineers and software engineers to bring experiments from idea to validated results.