Select / fine-tune SOTA LLMs (Llama-3-70B, Mixtral-8×22B, Phi-3-mini, DeepSeek etc.) using LoRA / QLoRA + Flash-Attention.

Build and curate a private dataset of explicit-but-policy-safe chat logs; reinforce with RLAIF on real user data.

Design multi-level prompt stacks (system → persona → scene → user) that ramp intimacy over time.

Create auto-temperature systems to keep chats spicy yet sustainable.

Architect long-term memory with vector DB + semantic tagging.

Implement emotion / kink classifiers (RoBERTa or Tiny-Mistral) to steer replies dynamically.

 Hook diffusion / TTS models for image, video, and audio replies.

Optimize on-device inference (Core ML / NNAPI) for low-latency bursts.

Build tiered filters: soft in-prompt guardrails, hard regex / classifier gates.

Iterate A/B tests to balance freedom and user safety.

Containerize with Docker; auto-scale on AWS / [Vast.ai](http://vast.ai/) spot GPUs.

CI/CD pipeline for nightly retrains and canary releases to 5% of traffic.

Pair daily with product, design, and mobile teams; prototype features in days, not quarters.

Mentor juniors, share cursed anime memes in Slack, and keep the office vibe spicy.

Proven track record fine-tuning LLMs (link to repo / model card).

Fluency in Python + PyTorch; Rust or Go a plus.

Deep familiarity with hentai, ero-manga, waifu tropes, and r/GoonsGoneWild culture.

3+ yrs shipping ML to prod, preferably at fast-moving start-ups.

Ability to design content-safety systems without neutering the experience.

Diffusion or TTS model experience for adult content.

Revenue-share tokens once Foxy passes 1 M MAU.

Zero corporate HR cringe - just build stuff fast.

Massive impact: Your code shapes millions of horny chats.

Adult content: If you’re squeamish, bail.

We’re building the world’s spiciest AI companion platform. Your mission: fine-tune open-source LLMs, craft insanely real NSFW dialogue and image gen, and push those models into production at break-neck speed.

If “prompt engineering” feels like foreplay and you instinctively know the difference between vanilla and gooning, keep reading.

MISSION OUTCOME:
Ship model updates that meaningfully boost user retention, intimacy, and paid conversion.

AI Engineer (GOON-CORE)