LLM Engineer

Join Rezolve AI, a fast-scaling, NASDAQ-listed company at the forefront of AI-powered commerce. Rezolve is building the core infrastructure for how retailers and brands will search, sell, personalize, and transact in the age of AI agents—already serving 950+ enterprise locations worldwide. With 543% H2 growth, more than $232 million in contracted 2026 revenue, raised 2026 revenue guidance of $360 million, and over $750 million in funding secured, Rezolve offers the rare chance to work on frontier AI products inside a public company that is still moving with startup speed and ambition.

You will:
- Build and improve the core LLM pipelines for our AI platform:
- fine-tuning pipelines
- synthetic data generation pipelines
- evaluation pipelines
- Design and generate high-quality datasets for training, benchmarking, and model improvement.
- Run fast experiments, validate hypotheses, and turn promising ideas into production-ready solutions.
- Work on challenging AI problems in e-commerce, including search, answer quality, and model behavior.

Must-have:
- Strong engineering background in Python, proven in production environments.
- Deep understanding of how modern language models work.
- Hands-on experience with LLM fine-tuning.
- Experience building data pipelines for training and evaluation.
- Experience designing and running LLM evals.
- Strong experimental mindset: able to move fast, iterate quickly, and test ideas in practice.
- Startup mindset with high ownership and readiness to work across research and engineering boundaries.
- AI-native approach to work and development.

Nice-to-have:
- Experience with pretraining or continued pretraining.
- Experience with RAG systems, reranking, or retrieval-based AI systems.
- Experience in e-commerce AI, search relevance, or ranking systems.

To apply please send your CV to:
ilyabriskin@rezolve.com
@il_37