Job Title: Founding AI Engineer - Supernal

Company Name: Infinity Constellation

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/zrrmqxq6witvwwur

Job Description: Posted 9mo agoFounding AI Engineer - Supernal@ Infinity ConstellationView All JobsWebsiteNew York, New York, United StatesRemoteFull TimeResponsibilities:Architect pipelines, Fine-tune models, Build APIsRequirements Summary:Full-stack founding engineer with Python/Django and React/TypeScript experience; system thinker; experience with AI/LLMs and end-to-end AI-powered workflows; autonomous, fast builder.Technical Tools Mentioned:Python, Django, React, TypeScript, PostgreSQL, Redis
🚀 Founding Engineer — SupernalRemote (US & EU Friendly) | Full-Time | Equity + SalaryWebsite: getsupernal.aiSupernal is building the operating system for businesses powered by AI employees.AI employees are here — and they’re redefining how businesses operate. At Supernal, we turn any tedious, manual process into an AI-powered workflow, managed through a delightful interface and accessible from web to phone. Businesses can now scale faster with smaller human teams empowered by large teams of AI employees.We believe this is a trillion-dollar opportunity. As a founding engineer, you'll help invent the infrastructure and interfaces that make it possible. Supernal has already reached multi-million dollar revenue within months, and we’re just getting started.Why This Role ExistsWe’re looking for a well-rounded, full-stack founding engineer to help us build robust AI systems and product experiences end-to-end. You’ll work directly with the founders on everything from core architecture to shipping new AI-powered features. If you’re a systems thinker, rapid builder, and care deeply about great UX and AI performance — we’d love to meet you.🔧 What You’ll DoArchitect and scale RAG pipelines, agent-based systems, and LLM-powered workflowsFine-tune large language models for structured data extraction and automationBuild developer-friendly APIs and interfaces for web automationShip product features fast — with real usage and feedbackWork closely with product, design, and customers to build what mattersStay ahead of the curve on LLM tools, embeddings, orchestration, and trainingCreate elegant, resilient systems that just work🌟 Who You AreA full-stack engineer comfortable across Python/Django, React/TypeScript, or eager to learn fastA system thinker who sees architecture, UX, performance, and product as a unified challengeObsessed with AI agents, LLMs, and building delightful automationsComfortable wearing many hats: engineer, product thinker, debugger, ownerThrive in fast-moving environments with a high degree of autonomyA natural builder: you ship, you own, you iterate✅ Bonus PointsExperience building LLM-based agents, fine-tuning models, or RAG pipelinesContributions to open-source AI/ML projectsExperience with: TypeScript, PostgreSQL, RedisYou've trained or fine-tuned your own model from scratchWorked on web automation, scraping, or structured data extraction before✨ Why Join Supernal?Founding role in a rocketship startup with real revenue and real usageShip fast: from idea to production in days, not monthsAutonomy: own your work, your time, and your decisionsRemote-first across US and EU, with in-person offsites and workshopsCompetitive salary + meaningful equityIncredible teammates: builders, operators, musicians, filmmakers, and climbersBacked by invisible.co, and founded by repeat entrepreneurs🧪 Our Interview ProcessWe prefer to pay you for a week to build something real with us. We believe it’s the best way to evaluate fit, working style, and what it’s like to collaborate — for both sides.Supernal is for you if:You’re a deep systems thinkerYou constantly seek ways to grow yourself, your team, and the productYou want to leverage LLMs to produce what used to take entire teamsYou care deeply about product excellence and technical eleganceYou thrive when wearing many hats and solving unstructured problemsYou value freedom and want to work from your favorite place on earthSupernal is not for you if:You’re looking to clock in and clock outYou want to be told what to doYou prefer owning a narrow slice of the codebaseIf this sounds like you — let’s build the future together.