3 дня назад
Mid/Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Mid/Senior AI Engineer (Python/LLM/Cloud): 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 architecture through monitoring, optimizing system performance, and mentoring ML engineers across client engagements.
Location: 100% remote; work from anywhere
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-tuned models, and embedding systems.
- Own technical delivery from architecture and prototyping through deployment, monitoring, and iteration.
- Translate client business needs into scoped, shippable technical solutions with engineering and product stakeholders.
- Mentor junior ML engineers through code reviews, technical guidance, and knowledge sharing.
- Shape internal tooling, best practices, and technical standards.
- Represent in client conversations, workshops, and optional industry conferences.
Requirements
- 2+ years of professional experience for the mid-level track or 5+ years for the senior track in machine learning, AI engineering, or a related role.
- Strong Python skills and experience writing clean, efficient, documented, production-quality code.
- Experience designing, training, optimizing, and independently deploying ML models with tools such as PyTorch, TensorFlow, or Scikit-learn.
- Experience building GenAI and LLM systems, including RAG pipelines, chatbot architectures, and LangChain applications.
- Familiarity with MLOps practices, model versioning, monitoring, and CI/CD for ML workflows.
- Experience deploying and scaling ML systems on AWS, GCP, or Azure, with strong debugging and performance optimization skills.
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.
- Collaboration with international enterprise clients.
- Urban Sports Club membership and monthly Bolt credits.
- Regular company events and offsites.
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