AI Agent Engineer

• Designing, building, and shipping the agentic core using TypeScript/Bun with Mastra, turning structured financial data and customer context into reliable AI outputs.
• Creating agentic systems that reason across structured financial data, business context, documents, and user instructions.
• Developing robust tool-calling, planning, memory, retrieval, and orchestration layers for production AI agents.
• Connecting agents to internal data sources, third-party APIs, databases, documents, and business logic.
• Building guardrails, validation systems, and evaluation workflows to improve accuracy, reliability, and trustworthiness.
• Working closely with product, engineering, and founders to turn complex financial use cases into intuitive AI-powered product experiences.

We need a senior engineer (5+ years) who has personally built and shipped a complete AI agent system in production - not a prototype, a demo, an internal tool, or a thin wrapper around an LLM API. You've owned the harness end-to-end: orchestration/planning, tool-calling, memory, retrieval/RAG, evaluation, and guardrails - with real users relying on what you shipped. Building only one slice, or agent work that never reached production, is not enough for this seat.

You have a real software engineering foundation underneath - systems design, debugging, architectural judgment - and you're ready to operate at founding intensity.

You'll ideally have:

• 5+ years of software engineering experience with strong TypeScript proficiency.
• Personally built and shipped a complete AI agent system in production, owning the full harness end-to-end (orchestration, tool-calling, memory, retrieval, evaluation, guardrails).
• Experience with LLM orchestration, structured outputs, function calling, embeddings, and RAG.
• Experience with prompt engineering and validation systems for reliable AI outputs.
• Startup experience - bonus if early stage (founding team, first 10-20 engineers, or own startup) - operated without structure.
• A technical undergraduate degree (CS, data science, or similar) from a top US university.
• AI agent experience in a domain that transfers - reasoning over structured data, memory, orchestration, multi-step workflows, or accuracy-critical outputs.
• Mastra framework experience is a strong plus.

What We're Not Looking For

Currently in an engineering manager role and no longer coding daily.

AI agent experience confined to non-transferable domains with no other production agent work (e.g., blockchain/Web3, voice-AI/IVR).

Experience focused solely on one slice of the agent harness without end-to-end ownership.

I'm partnering with a high-growth AI-native FP&A platform that's building one of the most exciting agentic AI systems in the enterprise software space. Their AI agents don't just answer questions. They reason across structured financial data, business context, documents, and user instructions to deliver reliable, accuracy-critical outputs for multi-unit businesses. 25% of the nation's workforce operates inside brick-and-mortar buildings, and yet there is no technology purpose-built to support them. Following strong traction with PE-backed beta customers and a $4M+ oversubscribed seed round from General Catalyst and ENIAC Ventures, they're expanding their engineering team and hiring a Sr AI Agent Engineer to build the agentic core of their platform. This is a founding-team seat. The equity, ownership, and influence reflect that. You will be in the room when we decide what to build, you will own how it gets built, and you will be expected to push back when you disagree. What You'll Do You'll take ownership of the agentic core of the platform, working directly with the CEO and co-founder to turn complex financial use cases into intuitive AI-powered experiences., This is a chance to join a business with exceptional momentum. The CEO scaled a multi-unit business to 1,000+ employees and exited to private equity. The co-founder co-founded Veho Technologies (valued at $2B) and has multiple tech exits. They're a mature founding team - not first-time founders figuring things out. Backed by General Catalyst and ENIAC Ventures. Round was oversubscribed with ~10 term sheets. Several years of runway. This is a founding-team seat with meaningful equity (up to 1%+ for the right person). You'll sit alongside the CEO and co-founder as the AI horsepower of the business. Direct access to founders, flat structure, no management layers. If you want it, you'll interface with some of the largest PE funds in the world (TPG, General Atlantic, GTCR, Warburg Pincus). You'll solve challenging AI engineering problems, work alongside a high-calibre team of experienced builders, and have a genuine opportunity to shape the architecture of a category-defining AI platform.