AI
Member of Technical Staff, Senior Full-Stack Engineer (Backend-Focused)
- Experience3 - 10 years — as a software engineer
- Compensation$175K - $240K
- Salary detail<p><strong>$175K - $240K base salary</strong> + competitive equity. Benefits include 100% of health premiums paid for you and your dependents, 12 weeks of paid parental leave, a 401(k) match, and daily lunch in the office.</p>
- EquityCompetitive equity
- VisaNone, Visa transfers
- Work policy3 days in-office (Tue-Thu, flexible on Mon/Fri) in San Francisco, CA (preferred) or New York City, NY
- LocationSan Francisco Bay Area, CA, New York City, NY, Greater Boston, MA
- TypeFull-time
The Opportunity
We are looking for a Senior Full-Stack Engineer (Backend-Focused) with 3-10 years of experience to help build the core platform behind Kosmos, our AI scientist. We want a strong, product-minded engineer from a fast-moving company who can own backend-heavy features from idea to production. With full deployments at two major pharma companies coming soon, we need more strong engineers on the platform to keep up.
What You'll Be Doing
- Design, build and maintain the Python backend services, APIs, databases and data pipelines that power our AI agents and research workflows
- Own features end to end, including work on the frontend with design and frontend teammates
- Work closely with research, forward-deployed and product teams to ship new AI-driven features
- Add monitoring, observability and automated testing to keep the platform reliable as enterprise customers come on board
- Join a small team of about 5 engineers that reports to our future Head of Product Engineering
About the Company
Spun out from FutureHouse in 2025, the company accelerates discovery and innovation across the sciences. The company focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist - scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.
Our platform empowers researchers to move from question to breakthrough faster than ever, automating literature synthesis, data analysis, and molecular design. At its core is Kosmos, our AI scientist, capable of running hundreds of research tasks in parallel. It transforms raw datasets into comprehensive, validated reports, compressing months of work into a single run.
With the company, scientists remain in control, using AI to amplify their expertise and accelerate discovery at unprecedented speed.
Founded in 2025, team size around 50 employees, $70M in total funding raised.
Tech Stack
Python, JavaScript, TypeScript, FastAPI, REST, GraphQL, React, Next.js, PostgreSQL, MongoDB, CI/CD, Infrastructure tooling
Application Questions
- Are you able to work in San Francisco or NYC and come into the office 3 times per week (Tues-Thurs)? Which office do you prefer?
- What does your current tech stack look like, and how would you rate your confidence in Python specifically?
- What percentage of your time is spent actually writing code day to day?
- How do you use AI tools in your workflow, and how much of your output relies on them? Walk me through a recent example where you had to debug or rework something the AI produced.
- Tell me about a product or app you’ve built end to end. How long did it take, what was your stack, what broke along the way, and what would you do differently if you started over?