Founding Full-Stack Engineer

• Helium is building Self-Improving Software:
• Our vision is AI that automatically generates & tests new experiences to lift revenue.
• To start, we’re automating onboarding flows for mobile apps & quickly expanding to new surfaces.
• We're an extremely talent-dense team
• 3/4 of the team previously founded companies
• All 3 cofounders have ML degrees
• Generated $Xb in revenue growth for our previous companies.
• We're scaling quickly
• Servers have been on fire since launch this Summer
• We power tens of millions of AI experience for top consumer companies
• Backed by >$5M from Y Combinator, Google’s AI fund, and leaders from OpenAI
• Benefits
• Build on the newest AI models, even before they're released publicly
• Work with a stellar hard-working team at a prime office in SF
• All meals (Breakfast, lunch, dinner) while working and gym/transport covered.

Helium is building Self-Improving Software: AI that automatically generates & tests new software experiences to lift revenue. We’re…

• Talent-dense (8 people, 6 engineers, 75% ex-founders)
• Well-funded ($6M from Google & Leaders from OpenAI)
• Fast-growing (Serving tens of millions of AI experiences per day for top consumer companies).

AI has created a once-in-history opportunity, and we’re here to win, because of that…

• 🔴 We work hard — In-Office Monday–Friday + often push through weekends 🔴

You’ll own big chunks of our AI Experience Generation product serving millions of users per day, including…

• Adding new features to the front-end Next.js application and deploying scalable Golang code that serves thousands of requests each second globally.
• Tune/Optimize/Load test our servers as we 10x our growth from tens of millions to hundreds of millions of users per day.
• Designing data systems and ML training infrastructure that power automated experimentation at scale.
• Work directly with founders and customers to design, implement, and deliver the best experiences!
• Wearing a lot more hats than listed above 👷.

• Keen problem solving skills: you are able to cut down ambiguous problems down to first principles and deliver a working solution.
• Strong programming/full-stack foundation: You’re comfortable working on both backend code as well as frontend React code.
• Experience working directly on user-facing products: you are able to figure out and understand what the user needs, including talking to customers
• Stellar cross-functional communication skills: you are able to adapt to our ways of working and be an efficient/effective communicator.
• Owning features end to end: you’ll write your own PRDs/quick specs when necessary, and you test your features end to end to make sure they work and satisfy the requirements

• Experience with ML/AI/LLM integration in applications
• Experience building scalable backend systems with very demanding SLAs
• Background working with design tools, chat experiences, or vibe coding tools
• Previous experience founding or working at a high-growth startup

• You want to work 9-5
• You avoid Cursor or AI coding tools.
• You can only operate on well-written specs, or feel uncomfortable designing new experiences from scratch.
• You don’t want to talk to customers.

• Next.js (React/Typescript), Zustand
• AI (vercel) SDK
• Tailwind/Shadcn
• Supabase
• Clickhouse
• Golang/Fly.io
• Mobile: Swift, Flutter, Expo, Android

Requires Bachelors degree or higher in Computer Science or similar fields.

Here are the technical problems you're solving:

• RL for software personalization - dynamic assignment of price, paywalls, and experiences to different users based on what improves metrics

• Automated a/b testing - building systems that automatically chooses and runs new paywall experiments to run based on analytics + codegen models

• AI editor - think Bolt/Lovable for paywalls

• Billion scale content serving - we're building a python service to process thousands of QPS that serving assets to millions of phones daily → soon to be billions

• Mobile webview optimization - building a webview layer that feels native across 4 mobile stacks