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  4. Founding AI Engineer - Supernal
Infinity Constellation

Founding AI Engineer - Supernal

Infinity Constellation·8 months ago

📍 Americas📅 May 14, 2025
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🚀 Founding Engineer — Supernal

Remote (US & EU Friendly) | Full-Time | Equity + Salary

Website: getsupernal.ai

Supernal 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 Exists

We’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 Do

  • Architect and scale RAG pipelines, agent-based systems, and LLM-powered workflows

  • Fine-tune large language models for structured data extraction and automation

  • Build developer-friendly APIs and interfaces for web automation

  • Ship product features fast — with real usage and feedback

  • Work closely with product, design, and customers to build what matters

  • Stay ahead of the curve on LLM tools, embeddings, orchestration, and training

  • Create elegant, resilient systems that just work

🌟 Who You Are

  • A full-stack engineer comfortable across Python/Django, React/TypeScript, or eager to learn fast

  • A system thinker who sees architecture, UX, performance, and product as a unified challenge

  • Obsessed with AI agents, LLMs, and building delightful automations

  • Comfortable wearing many hats: engineer, product thinker, debugger, owner

  • Thrive in fast-moving environments with a high degree of autonomy

  • A natural builder: you ship, you own, you iterate

✅ Bonus Points

  • Experience building LLM-based agents, fine-tuning models, or RAG pipelines

  • Contributions to open-source AI/ML projects

  • Experience with: TypeScript, PostgreSQL, Redis

  • You've trained or fine-tuned your own model from scratch

  • Worked on web automation, scraping, or structured data extraction before

✨ Why Join Supernal?

  • Founding role in a rocketship startup with real revenue and real usage

  • Ship fast: from idea to production in days, not months

  • Autonomy: own your work, your time, and your decisions

  • Remote-first across US and EU, with in-person offsites and workshops

  • Competitive salary + meaningful equity

  • Incredible teammates: builders, operators, musicians, filmmakers, and climbers

  • Backed by invisible.co, and founded by repeat entrepreneurs

🧪 Our Interview Process

We 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 thinker

  • You constantly seek ways to grow yourself, your team, and the product

  • You want to leverage LLMs to produce what used to take entire teams

  • You care deeply about product excellence and technical elegance

  • You thrive when wearing many hats and solving unstructured problems

  • You value freedom and want to work from your favorite place on earth

Supernal is not for you if:

  • You’re looking to clock in and clock out

  • You want to be told what to do

  • You prefer owning a narrow slice of the codebase

If this sounds like you — let’s build the future together.

Infinity ConstellationInfinity Constellation
📍 LocationAmericas
💼 Job TypeFull-time
📊 ExperienceMid Level
🏷️ CategoryData Science
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