About this role

You'll own ML/AI systems at the heart of the platform — from model development and training through to deployment and monitoring.
Day to day, that means building intelligent systems for document processing, web data parsing, classification, search, and entity matching, applying modern LLM techniques to messy, real-world problems.
You'll run experiments with new models, data strategies, and agentic AI approaches, while balancing innovation against production realities like reliability, performance, and safety.
Beyond the code, you'll help set the standards — defining best practices and tooling for AI development across the company, and collaborating closely with engineers and founders to keep AI capabilities aligned with what the product actually needs.

At least 4 years as a Machine Learning / AI Engineer in product-focused environments
Strong, production-level Python
Hands-on experience building AI/ML systems: LLMs, prompt engineering, fine-tuning, multi-agent systems, conversational AI
A solid grasp of modern ML/AI architectures and tooling
A track record of taking models from experimentation all the way to production
Comfort working across data, ML, and backend systems when the job calls for it
Strong analytical thinking and ease with ambiguous, open-ended problems
Excellent communication and collaboration in a fast-paced environment

Senior Machine Learning Engineer, NLP

Key skills