Founding Full Stack Engineer

About:

We’re building the AI workforce for Financial Advisors.

Financial advisors operate at the intersection of trust, data, and long-term decision-making. They support individuals and families across investing, retirement, taxes, estate planning, and more.

We believe the next generation of AI is not about chat interfaces or standalone tools. It’s about autonomous systems that execute real work inside real organizations.

An AI workforce that operates across systems, understands context, and takes ownership of execution.

That is the platform we are building.

We are developing vertical AI agents that autonomously handle the day-to-day operational work traditionally performed by support staff, directly within the tools advisors already use. These agents are coordinated by an AI Chief of Staff layer that connects fragmented systems, unifies data, executes workflows, and surfaces insights.

Backed by leading US investors, we are already working with some of the fastest-growing advisory firms in the market.

The Role

We’re hiring a Founding Full Stack Engineer to join the core team and build the product from the ground up.

This is not a feature-delivery role. It’s a founding-level position with real ownership over system architecture, product decisions, and engineering standards across backend and frontend.

You’ll work directly with the founders to design, build, and scale a production-grade AI-driven product, operating in a high-trust, real-world financial environment.

What You’ll Do

Build the Core Product

• Own end-to-end development across backend, frontend, APIs, and data pipelines in a production AI product
• Design and implement scalable, reliable systems from first principles, not templates
• Make architectural decisions that balance speed of execution with long-term scalability
• Build foundations that support autonomy, observability, security, and trust

AI Systems & Execution Layers

• Build and integrate AI-driven systems that execute real workflows across advisor tools and internal services
• Work hands-on with LLM orchestration, tools, memory, state management, and system evaluation
• Design deterministic control layers around probabilistic models

Frontend for AI Products

• Build clear, professional UX for users operating in a trust-sensitive environment
• Translate complex AI behavior into predictable, explainable product experiences
• Own critical product flows such as onboarding, task execution, monitoring, and feedback loops

Founding Team Ownership

• Shape engineering culture, standards, and development practices from day one
• Operate without rigid specs – define problems, propose solutions, and execute
• Influence product roadmap, technical priorities, and system design decisions
• Take full ownership over what gets built, how it’s built, and why

Who We’re Looking For

Must-Have

• 5+ years of experience as a full-stack engineer building complex, production-grade products
• Strong backend engineering skills, including API design, async workflows, state management, and data modeling
• Solid experience with modern frontend frameworks (React, Next.js, or similar), building real, product-facing UIs
• Proven experience building, shipping, and operating production SaaS systems end-to-end
• Experience designing systems under real-world constraints such as performance, reliability, cost, and security
• Comfortable owning ambiguous, system-level problems end-to-end, prioritizing real-world behavior and long-term velocity.

Strong Advantage

• Hands-on experience building AI-powered products, including LLM-based systems, agents, or automation layers
• Background in B2B or enterprise products where trust, reliability, and data integrity are critical

Why Join

• Massive market opportunity with real, measurable impact
• Build real AI agents deployed in production, not demos
• Direct collaboration with founders and meaningful technical ownership
• Influence the DNA of the product and the company from day one
• Backed by top-tier US investors with strong market traction

If you’re excited about building real AI systems, owning decisions, and shaping a product from its earliest days, this role offers rare depth, impact, and responsibility.