Senior AI Engineer

Stack

Responsibilities

• ▹Design, build and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients
• ▹Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring and iteration
• ▹Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions
• ▹Mentor and support other ML engineers: code reviews, technical guidance, knowledge sharing
• ▹Help shape internal best practices, tooling and technical standards as the team grows
• ▹Represent TensorOps technically in client conversations, workshops and optionally at industry conferences

Requirements

• ▹5+ years of professional experience in Machine Learning, AI Engineering or a related role
• ▹Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code
• ▹Proven experience designing, training, optimizing and deploying ML models independently (e.g. PyTorch, TensorFlow, Scikit-learn)
• ▹Experience building GenAI and LLM systems: RAG pipelines, chatbot architectures and applications using tools like LangChain
• ▹Familiarity with MLOps and production ML practices: model versioning, monitoring, CI/CD for ML workflows
• ▹Experience deploying and scaling ML systems on AWS, GCP or Azure
• ▹Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)

Nice to have

• ▹Experience working with stakeholders or clients

Soft skills

What we offer

• ▹100% remote work, no mandatory office days, work from wherever
• ▹Fully paid AWS and GCP professional certifications
• ▹High-impact projects on cutting-edge ML and GenAI solutions across industries
• ▹International clients and global organizations
• ▹Urban Sports Club membership
• ▹Monthly Bolt credits for rides
• ▹Company events and offsites

About the company

TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients from Fortune 500 companies to fast-growing unicorns. Its work spans agentic AI, LLM fine-tuning, RAG systems and ML-driven products, deployed on AWS, GCP and Azure. It is a Google Cloud, AWS and Cloudflare partner and 100% remote by design.