Sleuth is seeking a full-stack Software Engineer or Sr. Software Engineer who will be instrumental in shaping the product of a cutting-edge AI tool. You will own major product features across the stack from design to launch. This is a highly multidisciplinary role that is perfect for someone who craves ownership, is comfortable with ambiguity, and loves the challenge of moving as fast as possible. This environment is optimal for those who want to bet on themselves - top performers will see a clear pathway to engineering leadership roles as we scale.
Sleuth Insights, Inc. is a venture-backed Delaware C-Corp based in Los Angeles, CA. Sleuth is building autonomous AI agents and copilots that enable competitive intelligence insights for the biopharma industry. In short, we're Hebbia x McKinsey for life sciences. Our team is lean, talent-dense and very ambitious.
Why Join Sleuth?
● Traction: we’ve generated outsized demand for a startup of our size, and have already signed deals with some of the world’s leading biopharma companies
● Talent density: we’re growing thoughtfully and only work with incredibly smart, driven people
● Velocity: to meet the demand we’ve generated, we ship fast. You’ll learn a lot and constantly take on new challenges
● Frontier technology & product: we’re developing cutting-edge AI systems. You’ll truly be building the future of how our biopharma clients generate insights to power their business
A Typical Week in this Role:
● Write clean, maintainable, and scalable code across the entire stack to power our product
● Shape the foundation of the engineering organization for years to come by making key architectural decisions
● Work cross-functionally across different domains to bring ideas from inception to production-ready
Your Expertise:
● Bachelor's or Master's degree in Computer Science or a related field or demonstration of equivalent capabilities
● 4+ years of experience as a software engineer with a strong track record of delivering high-quality products, ideally in a startup environment
● Deployed production code with Python – at the API, service, and/or data layer levels
● Built and maintained web applications written in JavaScript/Typescript and modern frameworks such as ReactJS or Next.js
● Self-motivated with a drive to take ownership of projects end-to-end
● Authorized to work in the United States
● Able to work on Pacific Standard Time (PST)
● [Bonus] Located in Los Angeles, CA, or willing to relocate (Sleuth will cover moving expenses)
● [Bonus] Experience with multiple programming languages beyond the above
● [Bonus] Experience with LLMs and/or RAG-enabled question-answering workflows
● [Bonus] Experience with LangChain or LangGraph
● [Bonus] Experience building products from the ground up
● [Bonus] Familiarity with cloud platforms (e.g., AWS, GCP, Azure)
● [Bonus] Experience with DevOps practices (CI/CD, Terraform, Datadog, etc.)
● [Bonus] Machine-learning experience
● [Bonus] Experience working within or adjacent to the biopharma industry or a strong interest in the space
Compensation & Benefits:
● Compensation: $130-160K base salary with meaningful equity in a venture-backed, early-stage startup
● Comprehensive health insurance
● Flexible work schedules + remote work / hybrid options; relocation expenses to Los Angeles, CA will be covered
● Substantial growth opportunities for high performers, including accelerated promotions
● Be on the ground floor of a well-funded, innovative startup & help establish the foundational culture
What We Do
Sleuth is a startup that delivers done-for-you competitive intelligence insights and reports to biopharma companies and investors. We use AI agents and a proprietary database of over 100M data points and documents to power bespoke analyses for executives and a range of business-focused teams across the industry. Among our current customers are some of the largest pharma companies in the world, cutting-edge biotech companies and leading investors.
Why Work With Us
We move fast, which means we're always shipping new, game-changing features to our customers. We also prioritize effectiveness over everything else. That means freedom to work when and where you're most productive, while using in-person time for strategic planning and team building.
