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About the Role

Substrate is building autonomous wet labs for AI biology, integrated with foundation models to serve as critical infrastructure for AI-driven biological discovery. This role involves writing production code, shaping architecture, and influencing the growth of the intelligence software product team.

Responsibilities

• Write production code for AI Scientist and AI Assays.
• Help shape the architecture of the intelligence software product.
• Influence the engineering culture, including code review, evaluation, and deployment practices.
• Set up data capture infrastructure for AI Assays and define feedback paths.
• Bring AI Scientist into production and integrate its outputs with R&D capacity allocation.
• Help shape the technical roadmap for the intelligence team.
• Ship the first version of AI Assays and connect protocol optimization suggestions.
• Scope the third intelligence product.
• Transition from primarily writing code to coordinating the intelligence team's work.

Requirements

• Five or more years of professional software engineering experience.
• Direct experience putting LLMs, foundation models, or agentic systems into production at scale.
• Working comfort with the LLM harness layer: token economics, retrieval, evaluation, structured output, and large-scale data processing.
• Strong working comfort with Python.
• Track record of designing systems that other engineers built on top of.
• Experience in or near biology, biotech, scientific computing, or a research environment.
• Experience as an early-stage founding engineer at a venture-backed company.
• Background near LIMS, ELN, or scientific data infrastructure systems.
• Ability to talk back and disagree constructively.
• Pragmatic approach to agentic systems and foundation models.

Skills

• Large language models
• Foundation models
• Agentic systems
• LLM harness layer
• Token economics
• Retrieval
• Evaluation pipelines
• Structured output
• Large-scale data processing
• Python
• System design
• Biology
• Biotech
• Scientific computing
• LIMS
• ELN
• Scientific data infrastructure

Location

• King's Cross, London

Work Type

• Hybrid
• Full-time

Experience Level

• Senior engineer
• Founding engineer

Salary/Compensations

• Competitive salary against the London market for senior engineers working on LLMs and agentic systems at venture-backed companies.

Benefits

• Meaningful equity with standard vesting schedule and one-year cliff.
• 30 days annual leave.
• Learning budget for conferences, courses, and books.
• Quarterly offsites.

About the Company

• Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models.
• The company is spinning out of Automata, a UK lab automation company.
• Substrate is funded by venture funding and government grants.
• The company is not a cloud lab or a CRO, but an autonomous lab platform.

Equal Opportunity

• Substrate is an equal opportunity employer.
• Hiring decisions are made on merit, scope-fit, and the strength of the working relationship.
• Applications are welcome from candidates of any background.