Senior​/Staff Full Stack Engineer, Applied AI

Senior/Staff Full Stack Engineer, Applied AI

New York City

Fora is the modern travel agency, empowering the next generation of entrepreneurs to build thriving travel advisory businesses. We're modernizing the $100B+ travel industry with AI woven through every part of the advisor's workflow, plus global supplier relationships, personalized training, and a vibrant community, all in one place. That's what lets advisors build businesses that scale, while their taste and service create trips no algorithm alone could plan.

At the heart of it all is our mission: to help the next generation of travel entrepreneurs turn their love for travel into a fulfilling career, whether full-time or part-time.

The same idea shapes how we work. We're mission-driven and obsessed with our customers, and we believe humans and AI are both essential: the best work here comes from people and technology at their best, together.

Founded in 2021, Fora has grown to a team of 200+ full-time employees based in downtown New York City. In 2026, we closed a $60 million Series D led by Forerunner and Tactile Ventures, with continued backing from Thrive Capital, Insight Partners, and Heartcore Capital. We've been named a Linked In Top Startup (2024), one of Fast Company's Most Innovative Companies (2023 and 2025), and one of TIME's 100 Most Influential Companies (2026).

Come build something that hasn't existed before.

We're looking for a seasoned Senior / Staff Full Stack Engineer to help build Fora's fast growing suite of AI-driven products and infrastructure. Our ideal candidate is someone who follows AI closely and can tell which models and frameworks are worth using and which won't last; has built, shipped, triaged, and optimized something that uses LLMs (in production or on the side);

and has experience working in ambiguity, on top of APIs and SDKs that change every few weeks.

Most travel agents can't scale past $1M / year in business before they need to make their first hire. By giving advisors a day-one assistant to delegate entire workflows to, we believe they should be able to solo-operate $100M / year businesses. Our current focus is on building Via, an AI co-pilot built into our advisor portal. Via takes on time-consuming tasks so advisors can move faster, stay more organized, and glean insights into their business that they couldn't ever before, freeing them to do what they love: building client relationships, curating unforgettable trips, and growing their business.

This role tackles challenges across the AI stack including:
Building and expanding our suite of MCP tools; tuning our agent harness and orchestration layer for quality, cost, and speed; and building evaluations and observability that let us ship changes to a non-deterministic system with confidence; and much much more.

• Partner with the team's Product Manager and Designer to define and prioritize Fora's Applied AI roadmap, turning ambiguous goals into shippable agent capabilities
• Help design and build our MCP tooling – exposing Fora's data and service layers through permission-aware MCP tools that agents can call on an advisor's behalf, with the proper guardrails in place so that we only ever act on the right data at the right time
• Build and harden our agent orchestration – tool-calling loops, streaming responses, multi-step workflows, retries and guardrails, and the contracts between Fora's advisor portal and the AI service
• Continue improving the reliability of a non-deterministic system by designing evals, regression suites, tracing, and logging event metrics so we can measure quality, catch tool-call drift, and ship prompt, model, and tool changes with less risk
• Focus on performance, latency, architecture, and clean code – advisors feel every millisecond of a streamed response and every wrong tool call
• Collaborate with engineers across the company to define end-to-end solutions that span the AI services, the core Django platform, and our portal frontend
• Take features from 0 → 1, owning an entire solution from design to implementation to delivery and beyond
• Help establish the patterns, primitives, and best practices for…