Mid/Senior AI Engineer (LLM)

TL;DR

Mid/Senior AI Engineer (LLM): Design, build, and deploy production-grade ML and LLM systems for enterprise clients with an accent on RAG pipelines, agentic workflows, model fine-tuning, and cloud deployment. Focus on taking AI solutions from architecture and prototyping through monitoring and optimization while solving complex reliability, scalability, and performance challenges.

Location: 100% remote; work from anywhere with no mandatory office days.

Company

Boutique AI consultancy delivering 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, embeddings, and fine-tuned models.
• Own technical delivery from architecture and prototyping through deployment, monitoring, and iteration.
• Translate client business and product needs into scoped, shippable technical solutions.
• Collaborate directly with client engineering and product teams on AI engagements.
• Mentor junior ML engineers through code reviews, technical guidance, and knowledge sharing.
• Shape internal tooling, best practices, and technical standards.

Requirements

• 2+ years of professional experience for mid-level candidates or 5+ years for senior candidates in machine learning, AI engineering, or a related field.
• Strong hands-on Python skills and experience writing clean, efficient, documented, production-quality code.
• Experience designing, training, optimizing, and independently deploying ML models using tools such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building GenAI and LLM systems, including RAG pipelines, chatbot architectures, and LangChain-based 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.

Nice to have

• Experience working directly with stakeholders or clients.
• Interest in representing technical work at industry conferences.

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 clients on real-world challenges at scale.
• Urban Sports Club membership and monthly Bolt credits.
• Regular company events and offsites.