Tech Lead, LLM & Generative AI

NEXA Talent

Tech Lead overseeing LLM function in a conversational intelligence platform. Combines leadership with hands-on technical contributions in AI and machine learning.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Act as a player-coach, combining system design and mentorship with active contribution to the codebase (primarily Python/PyTorch)
Own and continuously improve the core conversational loop, including context management, retrieval systems (RAG), and inference performance
Guide and develop a small team of AI engineers while maintaining a high bar for execution
Define and execute the approach to model improvement, including supervised fine-tuning and preference optimization techniques
Oversee data pipelines, including dataset sourcing, labeling, and quality control to improve model performance across different user contexts
Design and implement custom classification systems capable of detecting and filtering harmful or non-compliant content
Build nuanced moderation layers that go beyond binary decisions, enabling context-aware handling within a complex content environment

Requirements

What you’ll need

8+ years of engineering experience, with a strong track record of delivering ML/LLM-driven features to large-scale, active user bases
Deep technical expertise in Python and modern ML frameworks such as PyTorch
Hands-on experience with the contemporary LLM ecosystem (e.g. inference engines, fine-tuning pipelines, evaluation frameworks)
Strong understanding of model behavior and alignment, including how prompting, sampling, and tuning influence outputs
Ability to operate effectively in a fast-moving environment, balancing technical rigor with speed of execution
High level of ownership, with a focus on long-term product quality, performance, and user experience
Comfort working within product environments that include uncensored or sensitive content domains

Benefits

Comp & perks

Flexible engagement model, with a preference for long-term collaboration
Fully remote work environment
20 days of paid time off annually
Annual in-person team gathering
Monthly health and wellness allowance, plus access to professional support services for employees and their families
Co-working budget to support flexible work setups
Dedicated learning and development budget
Company-provided laptop and home office support
Access to advanced AI and productivity tools to support experimentation and delivery

ATS Keywords

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Hard Skills & Tools

PythonPyTorchmachine learningsupervised fine-tuningpreference optimizationdata pipelinesdataset sourcingquality controlclassification systemscontext management

Soft Skills

mentorshipteam leadershipexecutionownershipadaptabilitycommunicationproblem-solvingcollaborationattention to detailtime management