Founding Software Engineer

Acceler8 Talent; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Acceler8 Talent is seeking a Founding Software Engineer to build a Python-based platform for AI-driven investment research. You will craft agents that decompose questions into actionable tasks and implement auditable, reproducible data-science code with strong traceability.

This hands-on, high-autonomy role requires tackling ambiguous problems end-to-end, evolving the architecture, and shaping engineering culture within a very early-stage company.

Qualifications

• Proficient Python development for backend and AI-related research platforms.
• Experience building substantial applied-AI or backend systems from concept to production.
• Ability to navigate ambiguity and deliver end-to-end components with high reliability.
• Strong judgment on software architecture and data systems to support product quality.

Responsibilities

• Build a production-grade Python platform for AI-driven investment research.
• Design agents that break complex questions into 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.
• Help shape the architecture, product, and engineering culture.

Skills

Python engineering

Fast learner

Applied AI systems

End-to-end delivery

Software architecture

Debug complex systems

Experimentation

AI in finance

LLM agents

Model evaluation

Secure execution

Data workflows

Observability

Tools

Agent orchestration frameworks

Data infrastructure

Code execution

Observability tooling

Job description

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
• 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
• 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
• 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.