Mid Senior AI Engineer

### About [TensorOps](https://himalayas.app/companies/tensorops) [TensorOps](https://himalayas.app/companies/tensorops) is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns. Our work spans agentic AI, LLM fine-tuning, RAG systems, and ML-driven products, deployed on AWS, GCP, and Azure. We've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and NASDAQ-listed companies (including Notion, ServiceNow, JFrog, Seeking Alpha, Armis, and GoCardless), and get 95% of validated ideas into production within two months. We're Google Cloud, AWS, and Cloudflare partners, and we're 100% remote by design. ### **About the role** We're hiring a Mid/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](https://himalayas.app/companies/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** * **2+ years** of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / **5+ years** for Senior * 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 Originally posted on [Himalayas](https://himalayas.app)