Sr. Software Engineer (Contract-to-Hire)

Fulcrum Neuroscience is hiring a hands-on Sr. Software Engineer (Contract-to-Hire) to build AI-driven tools and data integrations for biological modeling and model-enabled research.

Responsibilities

• Develop AI-driven tools and skills, including chat-based interactions and agentic workflows
• Implement MCP-based integrations to support model development and analysis, including model-based drug discovery and development
• Build AI-enabled visualizations, dashboards, and automated parametric search tools for complex, iterative goal-seeking tasks
• Enable goal-seeking tasks to run autonomously or with human-in-the-loop operation
• Create tools that integrate and analyze external literature and data inside the modeling platform
• Turn concepts and prototypes into scalable and extensible software solutions
• Capture requirements from technical discussions and produce clear documentation, including commented code, architecture and workflow descriptions, and API documentation

Requirements

• BS in Computer Science or Engineering (or related discipline)
• 5+ years developing software in a professional environment
• Experience with “vibe coding” with one or more frontier models
• Proficiency in Python and JSON, plus interfacing with API-driven platforms
• Mathematica experience is a plus
• Proven ability to deliver well-designed, well-documented code, including documentation that supports other team members (architecture, workflow, APIs)
• Comfort working in a fast-moving startup, managing multiple priorities and adapting to evolving deadlines

Highly Desired Qualifications

• Experience building scientific, modeling, and/or analytical software
• Experience developing AI skills for agentic workflows
• Experience integrating software with LLMs, including LLM APIs, RAG, and MCP
• Hands-on experience with open-weight (local) LLM models
• Familiarity with Bayesian statistics and simulation of systems of non-linear differential equations

Technologies

• Python
• JSON
• API-driven platforms
• Mathematica
• MCP
• LLMs, LLM APIs
• RAG
• Open-weight (local) LLM models
• Bayesian statistics

Work Setting and Location

• Ideal candidate is in the San Francisco Bay Area and can work at the office in South San Francisco, CA one day per week
• Remote candidates will be considered with willingness to periodically travel to South San Francisco

Employment Details

• Job type: contract
• Contract-to-hire: intended as a path to full-time employment
• Reporting line: Chief Technology Officer

Compensation and Equity

• Meaningful early-stage equity
• Contract rate commensurate with experience

Project Impact

• Build modeling tools that enable model-based research of Alzheimer’s and related disease
• Work at an early-stage company focused on these research capabilities

Education

• BS in Computer Science or Engineering (or related discipline)