Senior AI Engineer

About the role

We're hiring a Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.

In this role, you will:

* 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 on the team — code reviews, technical guidance, and 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

You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.

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 & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain
* Familiarity with MLOps & 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)
* Experience working with stakeholders or clients is a plus

What We Offer

* 100% Remote Work: no mandatory office days, work from wherever
* Funded certifications: fully paid AWS and GCP professional certifications
* Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
* International Clients: Collaborate with global organizations and solve real-world challenges at scale
* Urban Sports Club Membership: Supporting your physical and mental wellbeing
* Monthly Bolt Credits: For rides
* Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate