Tech Lead, LLM & Generative AI

We are seeking an experienced Tech Lead to drive the development and deployment of large language models (LLMs) and generative AI systems at scale. In this role, you will lead a growing team of engineers, architect cutting-edge AI solutions, and directly impact millions of users globally. You will operate in a in a fast-paced, highly autonomous environment, tackling complex challenges in model alignment, moderation, and performance optimization. This position blends hands-on engineering with strategic leadership, giving you the chance to shape both the technology and the team. If you thrive in high-velocity settings and enjoy building production-ready AI systems that redefine user experiences, this role offers an exceptional opportunity.

Accountabilities:

  • Lead and mentor a team of AI engineers while actively contributing hands-on to the codebase using Python and PyTorch.
  • Architect, optimize, and maintain the core chat loop, managing context windows, memory, retrieval, and inference latency at large scale.
  • Own the full model lifecycle, including supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF/DPO), and retrieval-augmented generation pipelines.
  • Oversee data sourcing, labeling, and cleaning to improve model steerability, multicultural performance, and ethical alignment.
  • Design and implement high-precision moderation systems to manage sensitive content safely and responsibly.
  • Ensure production-ready solutions balance user freedom with robust safety guardrails, maintaining an exceptional user experience.

Benefits:

  • Competitive salary with flexible contract arrangements (B2B preferred, negotiable).
  • Fully remote work environment with global flexibility.
  • 4 weeks of paid time off per year.
  • Annual company gathering for team connection and collaboration.
  • Health and wellness support: $100 monthly allowance for health expenses plus unlimited 1:1 sessions with lifestyle and mental health professionals (up to three family members included).
  • Co-working space budget up to $40 per visit (twice per month).
  • Professional growth budget for courses, conferences, books, or certifications.
  • Company-provided laptop and up to $250 monitor budget.
  • Premium AI tool access (ChatGPT, Hugging Face, Cursor, and others).

Requirements:

  • 8+ years of engineering experience, with significant time spent shipping ML/LLM features for millions of users.
  • Strong proficiency in Python, PyTorch, and modern LLM frameworks (Hugging Face, vLLM, fine-tuning pipelines, evaluation frameworks).
  • Demonstrated experience with large-scale model deployment, alignment strategies, and moderation of sensitive content.
  • Deep understanding of model behavior, prompt engineering, temperature, sampling, and optimization for conversational AI.
  • Strong problem-solving skills, ownership mindset, and the ability to distinguish between shippable production solutions and academic perfection.
  • Excellent communication and mentorship abilities to guide a small but high-impact engineering team.
Jobgether

Jobgether