AI Engineer - Startups

AI Engineers: Let 100+ Companies Compete For You Fonzi Match Day is where AI engineers who actually build things meet the companies worth building for. No job boards. No recruiter spam. Companies request to interview you and submit salary bids upfront. What Match Day Is Every week, hiring managers at 100+ pre-vetted startups in NYC and San Francisco review a curated group of engineers. They're reading profiles optimized by our team to surface what matters: what you've built, how you think about systems, and whether you're the kind of engineer who ships. Companies on Fonzi are deploying LLMs in production, building agentic workflows, standing up RAG pipelines, and solving real orchestration problems. They're backed by investors like A16z, Sequoia Capital, General Catalyst, Y Combinator and more. How It Works 2-minute application We reach out, learn what you're building and what excites you, and optimize your profile Hiring managers review the cohort and request interviews with candidates they want Companies submit competing salary bids directly to you You only interview where you're genuinely interested Completely free. We have an iMessage agent + humans in the loop you can text anytime w/ questions or requests to help handle scheduling and coordination Who We're Looking For The engineers who do best on Fonzi: Have built AI-powered products end-to-end, not just prototypes, but systems handling real users Can talk fluently about retrieval, memory, agent frameworks, context engineering, eval pipelines and anything else at the cutting edge Combine strong software engineering fundamentals with deep awareness of what's happening at the frontier of LLMs and agentic systems Thrive in startup environments where the problem is ambiguous and the team is small Have 2-8 years of experience, ideally with experience at at least one high-growth company What matters to the companies on Fonzi: You've worked with LLM APIs in production You have opinions on prompt engineering, orchestration patterns, tool-calling, and structured outputs You're comfortable across the stack: Python, TypeScript, React, cloud infra (AWS/GCP) You understand RAG systems, vector databases, embeddings, and retrieval pipelines You've built or contributed to eval frameworks. You know how to measure whether an AI system actually works Bonus: experience with agent frameworks (LangChain, LangGraph, CrewAI), workflow orchestration (Temporal), fine-tuning, or multi-modal systems What You'll Build The companies on Fonzi are working on: Agentic systems that automate complex, multi-step workflows across healthcare, legal, fintech, logistics, and compliance Production RAG pipelines powering domain-specific knowledge retrieval at scale AI-native products where the intelligence layer is the product, not a feature Multi-agent orchestration systems with tool-calling, memory, and reasoning capabilities Eval and safety infrastructure that makes AI systems trustworthy enough for enterprise deployment Full-stack AI applications from MVP to enterprise-grade, serving real customers today Compensation $150,000 – $400,000+ base salary depending on experience and role. Many positions include meaningful equity at pre-seed through Series B stage companies. The Interview Process (Typical) Most Fonzi companies run a lean, respectful process: Screening conversation looking for communication skills, cultural fit, genuine curiosity about AI Technical deep-dive talks on architecture thinking, how you'd design an AI system for a real problem Coding or pairing sessions building If you're an engineer who's been building with AI because you can't stop thinking about it we want to hear from you. Show more Show less