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.
Requirements
- 10 years of professional software and/or data engineering experience in the industry with 2+ years in small companies or startup environments.
- Proficiency in Python, Docker, orchestration framework (e.g., Airflow),
- Experience with relational databases (specifically PostgreSQL),
- Experience with graph and vector databases is a big plus.
- Knowledge of LLMs and GenAI frameworks (LangChain, LangSmith, LangGraph, AutoGen, MCP, etc.).
- Experience in leveraging cloud environments and data services for development and operation,
- Strong in infrastructure-as-code.
- Experience in secure software development and familiar with SOC2 or regulated software development environments.
- BS or MS in computer science, engineering, math, biology, or a related scientific field. Additional hands-on certificates are great to have.
Benefits
- Competitive compensation and meaningful equity
- Full healthcare benefits with generous employer contribution
- Flexible hybrid/remote work setup