Founding Engineer (AI Applications) - Keplogic

About Us

Keplogic develops enterprise-grade AI agents for the life sciences. Our flagship product Kepler AI is a bioinformatics agent designed to accelerate scientific discovery. As biology becomes increasingly data-driven wet-lab teams generate data faster than bioinformatics groups can analyze it with week-long turnarounds throttling iteration and delaying key scientific decisions. Kepler AI bridges this gap by enabling scientists to conduct bioinformatics analyses in natural language and receive rigorous answers in minutes not weeks through autonomous bioinformatics agents.

Today were powering research at several well-known biotech and pharma companies as well as academic labs accelerating decisions that drive new medicines. Join us as we revolutionize life sciences research!

The Role

As a founding Software Engineer AI Applications youll own major components of our core productfrom building scalable enterprise agent environments to designing novel interfaces for scientists to collaborate with AI. Youll closely work with leading biotech/pharma customers and research labs collaborate with bioinformaticians and ML researchers and shape the culture of our fastgrowing missiondriven startup.

What Youll Do

• Implement and evolve micro services and agent cloud infrastructure: Python PostgresSQL Docker Kubernetes Terraform

• Design & build userfacing features: React/ TypeScript

• Integrate cuttingedge AI/ML capabilitiesAgentic toolcalling data science runtime model tuning agent evaluation.

• Partner directly with customers (bench scientists & bioinformaticians) to turn raw pain points into polished features that feel like magic.

• Build an AI native company: help us design an agent-friendly product development cycle and infrastructure and shape a constantly self-improving company

Technical Requirements

Required

• 3 years professional experience with Python React/ and TypeScript Tailwind

• Handson experience with cloud infrastructure AWS Docker Kubernetes and Infrastructure as Code (Terraform preferred)

• Fluency with Git workflows automated CI/CD pipelines and testing frameworks (Jest Playwright pytest)

• Demonstrated ability to debug complex distributed systems and optimize performance

Preferred / Bonus

• Familiarity with LLM concepts and APIs (OpenAI completion/responses APIs function calls etc.)

• Experience with datascience tooling: pandas NumPy Jupyter notebooks

• Background in scientific computing biological research bioinformatics.

You Might Thrive Here If You

• High standard of quality: you hold work to a high bar even when no one is lookingit is in your personality. You make forward-thinking improvements to infrastructure and process.

• Take responsibility for outcomes: drives and keeps track of work to 100% completion without the need for reminders.

• Customer obsessed: care deeply about delivering clean intuitive user experiences and deeply curious about how customers are using the product.

• Are energized by ambiguity and rapid iteration: you prototype measure refactor repeat.

• AI native: eagerly evaluate prototype and adopt AI tools intelligently. You have an intuitive understanding of the failure modes of AI.

• Deeply motivated by mission: you want your code to accelerate lifesaving discoveries not just move pixels.

What We Offer

• Meaningful equity & competitive salaryown a slice of a categorydefining company.

• Hybrid work from SF Mission Bay office.

• Reimbursement for healthcare and transportation costs.

• Budget to adopt any work-related tool and software you need.

• Autonomy & fast growthyoull influence architecture culture and product direction from day one.

The Team Youll Join

• Ashton Leader in bioinformatics infra at GRAIL Foresite Labs Xaira Therapeutics ($1 B seed).

• Quinn Techlead at Databricks; built their first public LLM products and founder at Dream Voyage (a16z / Sequoiabacked).

We closed 3 enterprise deals within a month of launch and onboarding consumer users soonmomentum is real and the opportunity to shape it is now.