AI Engineer (GOON-CORE)

Skills

About the Role

You will fine-tune state-of-the-art large language models and maintain private datasets of policy-safe chat logs, applying LoRA/QLoRA and RLAIF to improve behavior. You will design multi-level prompt and persona stacks, build long-term memory with vector databases and semantic tagging, and implement emotion/kink classifiers to steer replies. You will integrate diffusion and TTS models, optimize on-device inference (Core ML / NNAPI), and implement tiered content-safety filters and A/B experiments. You will containerize services with Docker, autoscale on cloud and spot GPUs, and run CI/CD pipelines with nightly retrains and canary releases. You will pair with product, design, and mobile teams, prototype rapidly, and mentor junior engineers.

Requirements

• Proven track record fine-tuning LLMs (link to repo or model card)
• Fluency in Python and PyTorch
• Experience with Rust or Go is a plus
• Deep familiarity with hentai, ero-manga, waifu tropes, and r/GoonsGoneWild culture
• 3+ years shipping machine learning to production
• Ability to design content-safety systems that preserve user experience
• iOS and Android on-device ML optimization (extra credit)
• Diffusion or TTS model experience for adult content (extra credit)

Responsibilities

• Fine-tune state-of-the-art LLMs using LoRA and QLoRA
• Build and curate private policy-safe chat datasets and apply RLAIF
• Design multi-level prompt stacks and persona systems
• Implement auto-temperature and other runtime controls
• Architect long-term memory with vector database and semantic tagging
• Implement emotion and kink classifiers to steer replies
• Integrate diffusion and TTS models for multimodal responses
• Optimize on-device inference using Core ML and NNAPI
• Build tiered content-safety filters with in-prompt guardrails and hard classifier gates
• Run A/B tests to balance freedom and user safety
• Containerize services with Docker and autoscale on cloud and spot GPUs
• Maintain CI/CD pipelines for nightly retrains and canary releases
• Collaborate with product, design, and mobile teams and mentor juniors

Benefits

• Revenue-share tokens once Foxy passes 1 M MAU