Build, train and deploy AI models and algorithms that solve real business problems
Work with product, engineering and business teams to bring AI into live systems and workflows
Explore the latest in AI and machine learning, and turn what you learn into better products
Tune models for speed, scale and accuracy
Dig into large datasets to find insights that guide decisions
Document your models, processes and workflows so the whole team can build on them
Join code reviews, testing and debugging to keep quality high
Help shape and grow our AI engineering team
What You Bring
Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning or a related field
Around 2 years of experience deploying AI or ML models in a professional setting. Fresh graduates with relevant projects or internships are also welcome to apply
Strong Python or Java skills, and experience with TensorFlow, PyTorch or Scikit-learn
Familiarity with LLMs, AI agents, multi-model orchestration and application engineering
Solid grounding in data structures, algorithms and software engineering
Hands-on experience deploying models on AWS, Azure or Google Cloud
Comfort working with large datasets and data preprocessing
Strong problem-solving skills, whether you work independently or in a team
Clear communication, including explaining technical ideas to non-technical colleagues
Why Join Us
Work on practical AI problems with real impact
Learn and grow in a supportive, inclusive team
Room to contribute ideas and shape how the team works