Senior Software / Data Engineer at Sleuth

This role is ideal for a veteran engineer with 10+ years of experience who thrives at the intersection of Big Data, AI, and Life Sciences. You should be a "bridge" builder comfortable with both high-level data architecture and "forward-deployed" work, meaning you’ll collaborate directly with biopharma clients to ship custom solutions while simultaneously hardening those features for a core AI platform. The compensation is strong ($170k–$210k plus equity), but the real draw is the "talent density" and the chance to build agentic AI systems for a high-stakes industry. While listed as a hybrid role in San Francisco, they offer some flexibility and the stability of a startup that already has significant traction with major pharmaceutical companies. **You might be a good fit if you...** * Have deep experience with biopharma datasets like clinical trials, drug pipelines, and disease registries. * Are proficient in Python and orchestration tools (Airflow) and have explored GenAI frameworks like LangChain or LangGraph. * Enjoy a mix of customer-facing delivery and long-term platform engineering. * Have worked in regulated environments (SOC2) and value high-quality, secure code.