Infrastructure Software Engineer (AI Enablement)
LatchBio
Summary
Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI's application to biology use cases such as therapeutics and biosecurity. We are a group of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability.
Job description
What you'll do
- You will be working on problems including agent infrastructure and orchestration, ML infrastructure, model benchmarking at scale, full stack web development, developer and user experience, and process optimization. Infrastructure challenges span container orchestration, sandboxing, distributed filesystems, cloud architecture, and database systems.
- Your particular area of ownership will be developer experience and ops. You should expect this to take up less than 50% of your engineering time to start but be an area of passion and focus for you. You should be a strong overall engineer who has a knack for improving the productivity of those around you through tools and systems, particularly ones that tradeoff LLM tokens to get human time back.
What you bring
- AI-native engineer. You use AI coding agents every day and have built tooling, workflows, or integrations that made them more effective for a whole team, not just yourself.
- Strong software engineering. 3+ years writing production code in Python, Go, or TypeScript. You can get productive in an unfamiliar codebase fast.
- Developer tools builder. You've built internal tools or developer-experience improvements that other engineers actually adopted.
- DevOps fluency. Hands-on experience with CI/CD, AWS or GCP, Docker, and infrastructure-as-code. You don't need to be a career SRE, but you can own the pipeline.
- Teacher and evangelist. You can show engineers a better way to work and get them to adopt it through demos, docs, and pairing rather than mandates.
How we work
This position is based in our San Francisco office; you'll work closely with science, partnerships, ops, and engineering. We have two key meetings each week, plus ad hoc ones as needed. The work is busy, and the schedule is flexible. We don't track when you're online, and PTO is unlimited. What matters is that projects ship well and on time, or early.
Requirements
- AI-native engineer: uses AI coding agents daily and has built tooling, workflows, or integrations that made them more effective for a whole team
- 3+ years writing production code in Python, Go, or TypeScript
- Developer tools builder: has built internal tools or developer-experience improvements that other engineers actually adopted
- DevOps fluency: hands-on experience with CI/CD, AWS or GCP, Docker, and infrastructure-as-code
- Teacher and evangelist: can show engineers a better way to work and get them to adopt it through demos, docs, and pairing rather than mandates
Benefits
- Performance Bonus
- Equity
- Unlimited PTO
- Paid lunch and dinner
- Health insurance
- Dental insurance
- Vision insurance
- Visa sponsorship
- Relocation assistance
- 401(k) plan
- Professional development
Company overview
LatchBio is a San Francisco-based cloud platform that provides comprehensive data infrastructure and analysis tools for biotechnology research. Founded in 2021, the company offers a unified data platform designed to connect bench scientists, computational scientists, IT teams, and R&D leadership into a cohesive framework. Their platform enables scientists to store, transform, and visualize bioinformatics data, making data analysis faster, more accessible, and cost-effective. LatchBio's solution includes workflow orchestration, scalable cloud computing resources, data storage, and interactive visualization tools specifically tailored for biological data analysis. The company serves hundreds of biotech companies and research organizations, helping them accelerate R&D milestones by eliminating infrastructure complexities. With backing from prominent investors including Lux Capital and Coatue, LatchBio has raised significant funding to develop its platform that supports various omics technologies including NGS, spatial transcriptomics, and single-cell analysis.