Responsibilities
- Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).
- Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.
- Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization).
- Decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.
- Oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.
- Design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.
Requirements
- 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.
- Proficiency in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).
- Understanding the "Uncensored" challenge. Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.
- Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.
- Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.
- Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.
Benefits
- Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
- Work From Anywhere: Fully remote. Choose the environment where you do your best work
- Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
- Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
- Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members)
- Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
- Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
- Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup
- AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
Work Arrangement
Remote (Worldwide)
Team
Team size: 75. Structure: 1 Tech Lead, 3 AI Engineers, DevOps/Web collaborations
Additional Information
- External Referral Program Know someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to 2,500 USD if they’re hired. Submit a referral here.
