Mid/Senior AI Engineer

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Mid/Senior AI Engineer at TensorOps, designing and deploying ML systems for enterprise clients. Collaborating with teams to drive AI projects from prototype to production-grade deployment.

Posted 7/17/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and deploying production ML and LLM-based systems, with strong proficiency in Python and experience in MLOps practices. Capable of mentoring ML engineers and translating business needs into technical solutions while optimizing system performance.

Highest-signal resume keywords

Machine LearningPython ProgrammingML Model DeploymentGenAI & LLM SystemsMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPython ProgrammingML Model DeploymentPerformance OptimizationDebugging Skills

Soft Skills

MentoringTechnical GuidanceStakeholder Communication

Tools & Technologies

PyTorchTensorFlowScikit-learnLangChainAWSGCPAzure

Industry Keywords

RAG PipelinesChatbot ArchitecturesCI/CD for ML WorkflowsProduction ML Practices

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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