> Markdown version of [/jobs/ext/3788684-ai-backend-product-engineer](https://www.wearedevelopers.com/jobs/ext/3788684-ai-backend-product-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Backend Product Engineer - **Company:** Monaco Enterprises, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Programming Tools, Python (Programming Language), Machine Learning, Software Engineering, Web Application Frameworks, Backend - **Published:** October 16, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-backend-product-engineer-san-francisco-ca--f7011b3e-1db6-45e2-819d-85bb78c5ef14 ## About the Role * 2+ years of experience building product-driven software * Strong in at least one modern language (JS/TS, Go, etc.); some Python exposure * Experience with web frameworks, APIs, and cloud infrastructure * Strong product instincts and comfort working through ambiguous problems * Curious, practical, and excited about building with AI - whether youve already shipped AI features or simply spend your own time experimenting with models, agents, and new developer tools * Excited to learn quickly as the AI ecosystem evolves; prior professional AI/ML experience is not required ## Description Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack - CRM, sequencing, call recording, enrichment, pipeline management with one unified system, consolidating 6-10 disconnected tools into a single platform built for the AI era.We launched publicly in Feb 2026, are already 65 people, and have strong early product-market fit generating millions in ARR within months of launch. Youll have the chance to both scale our core systems and build new features from 0 to 1.Weve raised $85M in our Series B from Founders Fund, Benchmark, and Human Capital, and our founders previously led Brex, Apollo, and Clari.Come join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software.The RoleWere looking for an AI Backend Product Engineer to help build and shape Monacos core AI product. Youll work on the AI team, closely collaborating with product and design to turn fuzzy ideas into real features that customers use every day. This is a hands-on role with real ownership - from first prototype to production and beyond.As an AI-native company, were especially excited about engineers who are curious about what modern AI makes possible. You dont need to be an ML researcher or have years of AI experience. We care more that youre eager to experiment with new models and tools, learn quickly, and figure out where AI can meaningfully improve the product and how we build it.What Youll DoBuild and ship product features end to end across the stackPartner with product and design to solve real customer problemsExplore where AI can make existing workflows dramatically better or enable entirely new product experiencesPrototype with modern AI models and APIs when theyre the right tool for the problem, and turn promising experiments into reliable product featuresKeep our systems fast, reliable, and easy to iterate onUse AI-powered development tools to increase your own leverage and help us continuously improve how we build softwareImprove our dev workflows, tooling, and deployment over timeWhat Youll Bring2+ years of experience building product-driven softwareStrong in at least one modern language (JS/TS, Go, etc.); some Python exposureExperience with web frameworks, APIs, and cloud infrastructureStrong product instincts and comfort working through ambiguous problemsCurious, practical, and excited about building with AI - whether youve already shipped AI features or simply spend your own time experimenting with models, agents, and new developer toolsExcited to learn quickly as the AI ecosystem evolves; prior professional AI/ML experience is not requiredLocationSan Francisco. Were an in-person team - 5 days in the office. At this stage, proximity genuinely accelerates product quality and team cohesion.