Founding Software Engineer

Founding Software Engineer

💰 $200,000–$250,000 with equity

The Opportunity

Join a very early-stage applied-AI company building an AI research analyst—and, ultimately, an AI-native investor for financial markets.

The platform turns high-level investment questions into repeatable workflows: decomposing them into tasks, writing and executing auditable data-science code, evaluating results, and presenting findings investors can inspect and reuse.

The central challenge is building a system that becomes more intelligent, reliable, and useful over time.

The Role

As a Founding Software Engineer, you will work across the Python backend, agent orchestration, evaluation, traceability, data infrastructure, code execution, and output quality.

This is a hands-on role for a high-intelligence, high-agency Python generalist—not a conventional backend position with narrow boundaries. You will identify where the system fails and improve it end to end.

What You’ll Do

• Build a production-grade Python platform for AI-driven investment research
• Design agents that break complex questions into effective research tasks
• Develop systems for generating and safely executing auditable data-science code
• Evaluate reasoning quality, reliability, and usefulness
• Make the system’s conclusions and processes traceable
• Diagnose failures across decomposition, reasoning, tool use, and code execution
• Build the supporting backend and data infrastructure
• Turn ambiguous problems into reliable production systems
• Help shape the architecture, product, and engineering culture

What We’re Looking For

• Exceptional Python engineering ability
• High intellectual horsepower, agency, and learning speed
• Experience building substantial applied-AI, research-engineering, or backend systems
• Evidence of taking ambiguous projects from concept to production
• Strong judgment across software architecture, data systems, and product quality
• Comfort investigating complex failures rather than treating AI behavior as a black box
• A bias toward building, measuring, and iterating
• Interest in AI systems, financial research, or machine-assisted decision-making

Relevant experience:

• LLM agents, orchestration frameworks, or tool-using systems
• Model evaluation and quality-measurement infrastructure
• Secure or sandboxed code execution
• Data-science or quantitative-research workflows
• Financial data platforms
• Observability, provenance, or auditability

Why Join?

🚀 Join early enough to shape both the intelligence system and the company.

• You will have broad ownership, direct founder access, and the opportunity to solve difficult problems at the intersection of applied AI, data science, and financial markets.