2 дня назад
Senior AI Engineer (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (GenAI): Designing and deploying production-grade ML and LLM systems for enterprise clients with an accent on RAG pipelines, agentic workflows, fine-tuning, and scalable cloud deployment. Focus on owning technical delivery from architecture and prototyping through monitoring, optimizing system reliability, and mentoring ML engineers.
Location: Remote worldwide; work from wherever with no mandatory office days
Company
is a boutique AI consultancy that designs and delivers production-grade AI systems for enterprise clients, including Fortune 500 companies and fast-growing unicorns.
What you will do
- Design, build, and deploy production ML and LLM-based systems, including RAG pipelines, agentic workflows, fine-tuning solutions, and embedding systems.
- Own technical delivery from architecture and prototyping through deployment, monitoring, and iteration.
- Translate business needs into scoped, shippable technical solutions with client engineering and product teams.
- Mentor junior ML engineers through code reviews, technical guidance, and knowledge sharing.
- Shape internal best practices, tooling, and technical standards.
- Represent in client conversations, workshops, and optional industry conferences.
Requirements
- 5+ years of professional experience in machine learning, AI engineering, or a related role.
- Strong Python skills and experience writing clean, efficient, well-documented, production-quality code.
- Independent experience designing, training, optimizing, and deploying ML models using tools such as PyTorch, TensorFlow, or Scikit-learn.
- Experience building GenAI and LLM systems, including RAG pipelines, chatbot architectures, and applications with tools such as LangChain.
- Familiarity with MLOps practices, model versioning, monitoring, and CI/CD for ML workflows.
- Experience deploying and scaling ML systems on AWS, GCP, or Azure, plus strong debugging and performance optimization skills.
Nice to have
- Experience working directly with stakeholders or clients.
Culture & Benefits
- 100% remote work with no mandatory office days.
- Fully funded AWS and GCP professional certifications.
- High-impact ML and GenAI projects across diverse industries and international clients.
- Supportive, autonomous environment with open communication and continuous learning.
- Urban Sports Club membership, monthly Bolt credits, and regular company events and offsites.
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