Mid/Senior AI Engineer

We are building a pipeline of talented Machine Learning Engineers for upcoming projects at TensorOps. While we may not have an immediate opening, we are continuously growing and would love to connect with strong candidates for future opportunities.

If you are passionate about ML systems, GenAI, and production-grade deployments, we’d love to hear from you.

About the role

We’re looking for Machine Learning Engineers who enjoy building practical, production-ready AI systems and collaborating on meaningful projects.

In this role, you will:

Take ownership of key components within ML and GenAI projects, with support from senior team members when needed

Contribute to architectural and technical decisions in a collaborative environment

Build scalable ML systems that move from experimentation to real-world application

Work with international clients to understand requirements and implement thoughtful technical solutions

Support and mentor junior team members as you grow in your own leadership journey

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

Technical Expertise

We’re looking for engineers with strong hands-on experience across:

Python: Writing clean, efficient, well-documented, production-quality code

Machine Learning Frameworks: Designing, training, optimizing, and deploying models independently (e.g., PyTorch, TensorFlow, Scikit-learn)

GenAI & LLM Systems: Building RAG pipelines, chatbot architectures, and applications using tools like LangChain

MLOps & Production ML: Model versioning, monitoring, CI/CD for ML workflows

Cloud Deployments: Deploying and scaling ML systems on AWS, GCP, or Azure

Performance Optimization & Debugging: Diagnosing complex issues and improving system reliability and efficiency

Requirements

2+ years of professional experience in Machine Learning, AI Engineering, or a related role

Proven experience building and deploying ML models in production environments

Experience working with stakeholders or clients is a plus

Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field

Master’s degree in AI, Machine Learning, Computer Science, or a related field is a strong plus

Equivalent practical experience building and deploying production ML systems will also be considered

What We Offer

100% Remote Work: Work from anywhere with flexibility and autonomy

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