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're a well-funded, VC-backed team that has 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 brilliant, 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 who has built and scaled enterprise-grade, cloud-native software systems. In this role, you’ll architect, ship, and operate the core Cloud infrastructure, services, and interfaces 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 engineering role that requires deep knowledge and hands-on expertise in cloud infrastructure (DevOps), as well as enterprise-grade services/API development and operation.

What you'll do

• Design, develop, and operate a scalable, reliable, secure, and cost-efficient cloud infrastructure.
• Architect, build, and deploy AI-enabled software systems, APIs, and big data platforms.
• Develop applications and pipelines leveraging LLMs and modern agentic frameworks and tooling.
• Manage and query large-scale datasets for advanced analytics.
• Set engineering best practices across security, compliance, and software quality.
• Drive cross-functional collaboration with product and data science experts.
• Build monitoring and observability into the infrastructure and all software components.

What we are looking for

• Experience: 10+ 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, scaling, and operating cloud-native distributed systems on AWS or GCP.
• Backend services: expert-level proficiency in Python, Docker, FastAPI, Container orchestration like AWS ECS & EKS, and/or GKE, and orchestration engines such as Airflow or Nextflow.
• Data stores: relational databases (specifically PostgreSQL), graph databases (e.g., Neo4J, AWS Neptune), and vector databases (e.g., Pinecone, Chroma).
• Generative AI: hands-on with LLMs and GenAI frameworks (LangChain, LangSmith, LangGraph, AutoGen, MCP, etc.)
• Frontend: experience with React, JavaScript, and Vite is a big plus.
• Infrastructure & Ops: expertise in building and operating cloud environments, strong in infrastructure-as-code (Terraform), GitOps, and CI/CD automation.
• Security & Compliance: experience in secure software development and familiar with SOC2 or regulated software development environments.
• Education: BS, MS, or PhD 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, 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.