Founding Engineer (AI Applications) - Keplogic
San Francisco Bay Area
Pear VC
Weâre seed specialists that partner with founders at the earliest stages to turn great ideas into category-defining companies.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 weâre 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, youâll own major components of our core productâfrom building scalable enterprise agent environments to designing novel interfaces for scientists to collaborate with AI. Youâll closely work with leading biotech/pharma customers and research labs, collaborate with bioinformaticians and ML researchers, and shape the culture of our fastâgrowing, missionâdriven startup.
What Youâll Do
Implement and evolve micro services and agent cloud infrastructure: Python, PostgresSQL, Docker, Kubernetes, Terraform
Design & build userâfacing features: React/Next.js + TypeScript
Integrate cuttingâedge AI/ML capabilitiesâAgentic toolâcalling, 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/Next.js and TypeScript, Tailwind
Handsâon 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 dataâscience tooling: pandas, NumPy, Jupyter notebooks
Background in scientific computing, biological research, bioinformatics.
You Might Thrive Here If YouâŠ
High standard of quality: you hold work to a high bar even when no one is lookingâit 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 lifeâsaving discoveries, not just move pixels.
What We Offer
Meaningful equity & competitive salaryâown a slice of a categoryâdefining 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 growthâyouâll influence architecture, culture and product direction from day one.
The Team Youâll Join
Ashton â Leader in bioinformatics infra at GRAIL, Foresite Labs, Xaira Therapeutics ($1 B seed).
Quinn â Techâlead at Databricks; built their first public LLM products and founder at Dream Voyage (a16z / Sequoiaâbacked).
We closed 3 enterprise deals within a month of launch and onboarding consumer users soonâmomentum is real, and the opportunity to shape it is now.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: APIs Architecture AWS Bioinformatics Biology CI/CD Databricks Distributed Systems Docker Git Jupyter Kubernetes LLMs Machine Learning NumPy OpenAI Pandas Pharma Pipelines Playwright Python React Research Terraform Testing TypeScript
Perks/benefits: Career development Competitive pay Equity / stock options Salary bonus Startup environment
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