Sr. Software Engineer (Contract-to-Hire)
Explicitly requires vibe coding skills and building AI-assisted, agentic workflows and LLM integrations for scientific tooling.
About the Role
Senior software engineer to build AI-driven tools, visualizations, and integrations for a computational platform modeling brain health and neurodegeneration. Role focuses on developing agentic workflows, LLM integrations, and scalable software to support model-enabled research and drug discovery.
Job Description
Role
Reporting to the CTO, this hands-on Senior Software Engineer will develop AI-driven tools and infrastructure to enable biological models, digital populations, digital twins, and model-enabled research. The role emphasizes building agentic workflows, chat-based interactions, LLM integrations, visualizations, dashboards, and automated parametric search tools that can operate autonomously or with human-in-the-loop.
Key Responsibilities
- Develop AI-driven tools and skills including chat-based interactions, agentic workflows, and MCP-based integrations to support model development and analysis.
- Build AI-enabled visualizations, dashboards, and automated parametric search tools for complex, iterative workflows.
- Integrate and analyze external literature and data into the modeling platform.
- Turn concepts and prototypes into scalable, extensible software solutions.
- Capture requirements from technical discussions and produce clear documentation (commented code, architecture and workflow descriptions, API documentation).
Qualifications
Required
- BS in Computer Science, Engineering, or related discipline.
- 5+ years developing software in a professional environment.
- Experience vibe coding with one or more frontier models.
- Proficient in Python and JSON; experience interfacing with API-driven platforms.
- Demonstrated skill producing well-designed, well-documented code and supporting documentation.
- Comfortable working in a fast-moving startup environment and juggling multiple priorities.
Highly Desired
- Experience developing scientific, modeling, or analytical software.
- Experience developing AI skills for agentic workflows and integrating with LLMs (LLM APIs, RAG, MCP).
- Experience using open-weight (local) LLM models.
- Familiarity with Bayesian statistics and simulation of non-linear differential equation systems.
Work Arrangement
- Full-time, contract-to-hire (intended path to full-time employment).
- Ideal candidate based in the San Francisco Bay Area and able to work at the South San Francisco, CA office one day per week. Remote candidates willing to periodically travel to South San Francisco will be considered.
What We Offer
- Meaningful early-stage equity and a contract rate commensurate with experience.
- Opportunity to build modeling tools supporting research into Alzheimer’s and related neurodegenerative diseases at an early-stage company.