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Open nowFirst seen 5 days ago

Lead AI Engineer, Game Generation

EuroBusiness Products Resourcing8 open roles

Pay
$120,000 – $150,000 a year
Where
London, United Kingdom
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Your applicationOpen nowLead AI Engineer, Game GenerationEuroBusiness Products Resourcing · London, United Kingdom

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EuroBusiness Products Resourcing's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Lead AI Engineer, Game Generation

TechTree acts as the recruitment agency for this opportunity.

Location: London, United Kingdom Working arrangement: On-site in London from October 2026; remote start permitted until then Employment: Full-time Level: Mid-Senior Level

Advertised compensation: $120k–$150k, plus equity. The client also states that compensation is open for the right candidate.

About Nanogram

Nanogram is a TikTok-style mobile feed where every item is a short, AI-generated browser game - anyone can make one from a prompt.

The role

The game-generation pipeline is the product, which makes this the most important hire the client is making right now. Every game in the feed comes out of it: a creator's prompt intent extraction template matching model routing asset retrieval generation validation and repair runtime play telemetry back into the loop. It's built around a fixed library of ~20 proven core mechanics with hard-constraint specs (every line pass/fail checkable), and a quality score fed by real play data - completion, replay, share/remix.

You'll own that system end to end and be judged on two numbers moving at once: playability pass rate up, cost per generation down, at volume.

This is not a prompt-engineering role, and not a research role where someone else ships your work. It's also not "LLM app" building - the output here has to compile, run and be fun, millions of times, at a cost that works. You'll work with core engineering in Sofia and with game design; there's a team on the pipeline today and you become its technical owner, and lead it if you can. Comp is open - the client will pay top of market for the right person.

What you'll do

  • Own the full generation pipeline: intent extraction, template matching, model routing, asset retrieval, generation, validation and repair, runtime, and play telemetry feeding back into the loop.
  • Move playability pass rate up and cost per generation down, at volume.
  • Run benchmark suites, LLM-as-judge and playability pass/fail checks, and show output quality improving over time.
  • Own the economics: tiered model routing, RAG/templates, caching, small-model distillation.
  • Stay hands-on in the runtime: browser/JS games, procedural content, asset/image generation.

What you bring

  • Have shipped text-to-game or AI game-creation tech (Rosebud, Bitmagic, Astrocade, Websim, Roblox Cube/Assistant, Hidden Door calibre) - or the next-closest thing: a prompt-to-running-app agent at scale (Replit Agent, Lovable, Bolt, v0 calibre).
  • Own the full loop: generation validation repair eval, with benchmark suites, LLM-as-judge and playability pass/fail checks.
  • Know the economics cold: tiered model routing, RAG/templates, caching, small-model distillation - have cut cost per generation 10x somewhere.
  • Strong enough engineer to live in the runtime too: Three.js, Phaser, Babylon, voxel engines, procedural content, asset/image generation.

Nice to have

  • Research credentials in generative game tech (DeepMind Genie/SIMA, Microsoft Muse, LLM-driven PCG papers).
  • Has led a team of 2-3.
  • Fine-tuned or distilled open models in production.
  • Image or 3D asset generation experience.
  • Game-engine background (Unity/Godot).
  • Startup or founding-team experience.

Hiring process

  • CV
  • Technical Interview (1 hour)
  • System design interview (90 min)
  • Paid take-home (1-2 hours to complete)

Logistics

  • Location: London, in person. Long-term this isn't flexible - the client requires the team to work together in person.
  • Remote until October 2026: you can start immediately from wherever you are and join the office in October. Relocation to London by October is a condition of the offer.
  • Full-time.
  • Compensation: base + equity, open - the client will pay top of market for the right person.

Benefits

  • 6% pension
  • Private health and dental cover
  • Gym allowance
  • Commuting season-ticket loan
  • Visa sponsorship
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against EuroBusiness Products Resourcing's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EuroBusiness Products Resourcing's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    EuroBusiness Products Resourcing's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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