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Full-Stack Engineer (Front-End Spike)

Hud

San Francisco, California, United States permanent

Posted: April 27, 2026

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Quick Summary

Work as a full-stack engineer to build and ship polished user experiences for a high-performing product, with a focus on user experience in a fast-paced environment.

Job Description

About HUD

HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $15M from top VCs and were YC W25.

About the role

We’re looking for a full-stack engineer who spikes in front-end to build a polished user experiences for a high-performing product.

Responsibilities

• Build and ship end-to-end product features across frontend and backend, with a strong emphasis on user experience

• Translate product and design requirements into high-quality, intuitive user interfaces with strong attention to detail

• Optimize applications for performance, responsiveness, and cross-browser compatibility

• Develop and maintain backend services and APIs that power core product functionality

• Talk directly with customers, understand their workflows, and turn messy real world feedback into product improvements

Experience

You may be a good fit if you have:

• Strong experience owning products end-to-end and working across the stack

• Evidence of rapid learning and adaptability in technical environments (e.g., programming competitions)

• A portfolio of shipped products, side projects, or live demos that demonstrate your frontend craftsmanship

• Startup experience in early-stage technology companies with ability to work independently in fast-paced environments

• Familiarity with current AI tools and LLM capabilities

• Strong communication skills for remote collaboration across time zones

Strong candidates may also have:

• A standout portfolio showcasing exceptional UI/UX work, interaction design, or creative engineering

• Experience with reinforcement learning, post-training, or model training workflows

• Familiarity with product analytics tools and experimentation (e.g., A/B testing)

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Team & company details

• Team Size: ~15 people currently, mostly full-time in-person, but some remote.

• Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.

• Company stage: We have 8 figures in funding and high revenue growth. We’re scaling profitably and quickly to meet very strong demand.

Logistics

• Employment: Full-time.

• Location: On-site in the San Francisco Bay Area.

• Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US.

• Timeline: Applications are rolling. The process is 2 technical interviews and a 1-week work trial.

What we offer

• Competitive compensation

• 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA

• Lunch and dinner when you’re in the office

• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

• Other perks including an Equinox membership, 401k, and commuter benefits

• Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!

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