Tech Lead, LLM & Generative AI

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🕒 Maio 1

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of NEXA Talent

NEXA Talent

1 - 10 funcionários

Fundada em 2023

🎯 Recrutamento

Recruitment

NEXA Talent é uma agência de recrutamento com sede em Sofia, fundada por Dani, que começou no recrutamento executivo em Londres e retornou à Bulgária para conectar empresas locais a candidatos qualificados. A empresa foca em identificar, avaliar e apresentar candidatos a potenciais empregadores, enquanto lida com os dados pessoais dos candidatos de maneira responsável e segura. A NEXA Talent opera de um espaço de co-working em Sofia e retém informações de candidatos para fins de recrutamento com práticas claras de acesso e privacidade de dados.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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