Technical Lead Applied AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Technical Lead Applied AI: Leading and delivering complex AI solutions and projects for enterprise customers with an accent on fine-tuning LLMs, advanced RAG, agentic workflows, and scalable NLP applications. Focus on designing robust AI systems, mentoring teams, driving technical strategy, and bridging AI research with real-world enterprise deployments.
Location: Hybrid in Paris, Amsterdam, London, Munich, Luxembourg, Marseille
Company
develops high-performance, open-source AI models and solutions designed to integrate seamlessly into enterprise environments, with teams across Europe, USA, and Singapore.
What you will do
- Write and review critical code for complex AI projects, staying hands-on in development.
- Lead and mentor technical teams of Applied AI Engineers deploying GenAI applications.
- Drive technical discussions during pre-sales and translate customer needs into solutions.
- Design and oversee implementation of AI systems including fine-tuning, RAG, and custom LLM applications.
- Identify emerging AI trends and champion best practices for deployment and inference.
- Collaborate closely with product managers, researchers, and engineers to integrate customer feedback.
Requirements
- Fluent English required.
- 7+ years experience in AI/ML with 2+ years in technical leadership roles.
- Advanced expertise in fine-tuning LLMs, RAG, agentic systems, and scalable NLP deployment.
- Proficiency in Python, PyTorch, and modern AI frameworks; cloud and MLOps experience is a plus.
- Strong software engineering skills including API design and system architecture.
- Excellent technical communication skills for diverse audiences.
Nice to have
- Open-source contributions in LLM or AI domains.
- Experience in customer-facing roles focused on enterprise AI adoption.
- Proven ability to drive technical strategy and influence product direction.
Culture & Benefits
- Work with a world-class, collaborative AI-focused team.
- Contribute to impactful open-source AI projects.
- Dynamic, low-ego, and innovative work environment.
- Distributed teams across Europe, USA, UK, Germany, and Singapore.
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