Staff Software Engineer

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.

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.