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about 1 month ago
Requirements and responsibilities
About the roleIf you want to build AI systems directly alongside Global 1000 teams and see your work go live in production, this is one of the highest-leverage engineering roles in the AI stack today.Our Client is building one of the fastest-growing open-source AI developer platforms, with 28k+ GitHub stars, millions of weekly installs, tens of millions of AI interactions, and double-digit month-over-month growth. The product is already monetizing at the enterprise level and is in production across a meaningful portion of the Fortune 500.Backed by strong funding and operating with a small, senior team, they are defining the agent-user interaction layer that brings AI out of demos and into real applications.They are hiring a Forward Deployed Engineer to work directly with enterprise customers and prospects, bridging product, engineering, and go-to-market.You will be the primary technical contact for enterprise prospects and customers.This is a hybrid of solutions engineering, architecture, and hands-on AI development. You will run live demos, build proof-of-concepts, architect AI agent workflows, debug customer implementations, and help teams get to production.You will code with customers, advise on architecture, and influence roadmap direction based on real-world needs.This is not support. This is production-facing AI engineering.What You’ll DoPartner with sales and GTM teams during enterprise technical discussionsRun live demos and build custom proof-of-conceptsArchitect agent-user interaction patterns for real production systemsHold weekly working sessions debugging customer codeProvide production-readiness guidance and design reviewsCapture customer feedback and advocate internally with engineeringCreate technical walkthroughs and demo assets that convertWhat They’re Looking ForStrong foundation in TypeScript (React) and PythonExperience building AI agents or working with agent frameworksComfort operating in AI-native workflows using tools like Copilot, Cursor, or ClaudeAbility to explain technical concepts clearly to both engineers and executivesPrior experience in Solutions Engineering, DevRel, pre-sales engineering, or customer-facing engineeringStrong systems thinking and ability to evaluate architecture tradeoffsHigh energy, curiosity, and ownership mindsetNice to Have:Familiarity with agent frameworks such as LangGraph, CrewAI, or similarExperience creating technical content (blogs, demos, walkthroughs)Active involvement in developer communitiesWillingness to travel for key enterprise clientsWhy This Role Stands OutDirect exposure to enterprise AI deployments at scaleWork at the intersection of engineering, sales, and productHigh visibility with both customers and company leadershipOpportunity to shape how production AI systems are architectedJoin at an inflection point with real traction and strong momentumIf you enjoy building with customers, thrive in ambiguity, and want to operate where AI meets production reality, this is a rare opportunity.
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