opengreenhouseforerunnerventures
Senior/Staff Full Stack Engineer, Applied AI
Fora
LocationNew York City
Last observed2026-07-02 08:33:19.126572
Job idforerunnerventures-fora:greenhouse:5239348008
About Fora Fora is the modern travel agency , empowering anyone with a passion for travel to build a thriving advisory business. We're modernizing the $100B+ travel agency industry by combining powerful technology, data, and community to enable thousands of entrepreneurs to build on our platform. Our business-in-a-box platform gives travel entrepreneurs everything they need to launch and scale, from cutting-edge tools and personalized training to a vibrant community and exclusive industry partnerships. 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. We believe that everyone, from seasoned professionals to first-time advisors, can build something both profitable and personal. Founded in 2021 by seasoned entrepreneurs, Fora has grown steadily since, expanding to a team of 200+ full-time employees based in downtown New York City . In 2025, we announced our $60 million Series B and C investment rounds , led by Thrive Capital and Insight Partners , with participation by previous investors including Forerunner and Heartcore Capital. We've also been recognized as a LinkedIn Top Startup 2024, Fast Company's Most Innovative Companies 2025 and 2023, and Built In 2025 Best Places to Work. We're building the first truly unified platform for all travel needs—leveraging the best of human expertise and technology to transform how people plan and book travel. About The Role 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. Key Responsibilities 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-t
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