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Fairmarkit is seeking an Agentic AI Engineer to join a new, elite founding team building an AI and Agentic business line from scratch. This role involves architecting and developing LLM-powered systems and AI agentic solutions in production. You will own end-to-end full stack development, design intuitive AI-native user experiences, and contribute to defining the technical foundation and engineering culture. The ideal candidate has hands-on experience with LLMs, agentic systems, modern JS/TS frameworks, Python, cloud platforms, and AI orchestration frameworks like LangChain.
Fairmarkit is the #1 autonomous sourcing platform revolutionizing the way all organizations buy & sell. Fairmarkit equips procurement teams with automation, AI, and GenAI so they can source more competitively at scale. Our solutions for tail spend and strategic sourcing help innovative procurement teams reduce cycle times, drive out costs, meet ESG/Diversity targets, and provide a better stakeholder experience to internal partners and suppliers. Fairmarkit has been recognized with awards by organizations such as Gartner and IDC, and is backed by strategic investors like Notable Capital, Insight Partners, 1984.VC, and Newfund.
Fairmarkit is building a brand new AI and Agentic business line from scratch, and we're assembling a small, elite founding team around it. This is one of the first two technical hires on this venture. You'll work directly with co-founders Kevin Frechette and Victor Kushch every day, with zero bureaucracy between your work and real company impact.
We're looking for builders: current, former, or future founders who want to architect something massive from the ground up. You need to already be deep in AI, shipping, experimenting, and living it daily. You should also have a strong eye for product and design, since you'll be shaping not just how this system works but how it looks and feels to use.
For this role you need to reside in Boston, MA. The annual compensation for this role is $319,000 - $350,000 (including a bonus), depending on experience and location, plus equity and benefits. This range is provided in accordance with applicable U.S. pay transparency laws. Final compensation will be determined based on experience, skills, and location. #LI-remote