
Mid/Senior AI Engineer
Posted Jul 18

Posted Jul 18
This is a fully remote position, open to applicants anywhere in the world.
• Design, develop, and implement production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
• Take ownership of the technical delivery process from architecture and prototyping to deployment, monitoring, and iteration.
• Collaborate directly with client engineering and product teams to convert business requirements into defined, deliverable technical solutions.
• Guide and mentor fellow ML engineers on the team through code reviews, technical advice, and knowledge sharing.
• Contribute to the establishment of internal best practices, tools, and technical standards as the team expands.
• Represent TensorOps in a technical capacity during client discussions, workshops, and (optionally) at industry conferences.
• A minimum of 2 years of professional experience in Machine Learning, AI Engineering, or a related field (Mid-level) / 5+ years for Senior positions.
• Proficient in Python, capable of writing clean, efficient, well-documented, production-ready code.
• Demonstrated experience in independently designing, training, optimizing, and deploying ML models (e.g., using PyTorch, TensorFlow, Scikit-learn).
• Experience in developing GenAI & LLM systems: RAG pipelines, chatbot frameworks, and applications utilizing tools such as LangChain.
• Knowledge of MLOps and production ML practices: model versioning, monitoring, CI/CD for ML workflows.
• Expertise in deploying and scaling ML systems on AWS, GCP, or Azure.
• Strong skills in performance optimization and debugging (diagnosing complex issues and enhancing system reliability and efficiency).
• Experience with stakeholder or client interactions is advantageous.
• 100% Remote Work: no mandatory office days, work from any location.
• Funded certifications: fully covered AWS and GCP professional certifications.
• Dynamic, High-Impact Projects: Engage in innovative ML and GenAI solutions across various industries.
• International Clients: Work alongside global organizations and tackle real-world challenges at scale.
• Urban Sports Club Membership: Promoting your physical and mental wellbeing.
• Monthly Bolt Credits: For rides.
• Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate.
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