Startups · AI

Infrastructure Software Engineer (AI Enablement)

Latch Bio · San Francisco, USA · On-site

← All jobs
About Latch Bio

Harmonize your Wet and Dry Lab. Backed by Lux.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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. Some of our work is showcased on benchmarks.bio

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.

AI-development focused engineer: how do we run more agents in parallel...

Read the full posting on Latch Bio's site ↗

Engineering

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.