About us

Sleuth is building a modern, agentic, and intelligent decision-making platform for the biopharma and life sciences industry. We’re using AI to automate workflows and deliver crucial insights and bespoke reports that answer our users’ critical questions about their investments.

You should join us, because:

• 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 biopharma and life sciences companies generate insights to power their business.

About the role

We are seeking an experienced software engineer with experience in building enterprise-grade, cloud-native software systems. In this role, you’ll design, ship, and operate services, customer applications, and APIs that power our AI decision-making platform, while shaping engineering foundation and culture at an early-stage, high-growth startup at the frontier of enterprise GenAI applications. This is a generalist role requiring knowledge and hands-on experience in the end-to-end software development lifecycle.

What you'll do

• Design, develop, and operate a scalable, reliable, secure, and cost-efficient cloud infrastructure.
• Design, build, and deploy AI-enabled software systems, including services, APIs, and customer applications.
• Develop applications and pipelines leveraging LLMs and modern agentic frameworks and tooling.
• Leverage large-scale datasets for advanced analytics.
• Contribute to engineering best practices across security, compliance, and software quality.
• Collaborate with other engineers and cross-functionally with product and data science experts to execute on the product roadmap.
• Build monitoring and observability into the infrastructure and all software components.

What are we looking for

• Experience: 7+ years of professional software engineering experience in the industry with 2+ years in small companies or startups.
• Working style: collaborative and organized with a strong sense of end-to-end ownership.
• Systems: proven track record in designing, developing, and operating cloud-native micro-services systems on AWS or GCP.
• Backend services: high level of proficiency in Python, Docker, FastAPI, container orchestration like AWS ECS & EKS, and/or GKE.
• Data stores: relational databases (specifically PostgreSQL). Experience with graph databases (e.g., Neo4J, AWS Neptune) and vector databases (e.g., Pinecone, Chroma) is a big plus
• Generative AI: Knowledge of LLMs and GenAI frameworks (LangChain, LangSmith, LangGraph, AutoGen, MCP, etc.). Hands-on experience is a big plus.
• Frontend: experience with React, JavaScript, and Vite is a big plus.
• Infrastructure & Ops: experience in leveraging cloud environments and services for development and operation, strong in infrastructure-as-code (Terraform).
• Security & Compliance: experience in secure software development and familiar with SOC2 or regulated software development environments.
• Education: BS or MS in Computer Science, Engineering, Math, or related scientific field. Additional hands-on certificates are great to have.
• Domain Knowledge: familiarity with biopharma, biotech, or life sciences environments is a plus.

What we offer

• Competitive compensation and meaningful equity, full healthcare benefits with generous employer contribution, and flexible hybrid/remote work setup.
• Hands-on experience at the frontier of AI, building agentic systems that don’t just support but transform how insights are generated and applied.
• An opportunity to directly partner with leading biopharma companies and see your work shape how this industry makes billion-dollar decisions using our software.,