AI / ML Engineer

Role overview Develop practical AI and machine learning systems and bring them from experimentation into production use. The role spans retrieval-augmented generation, agent-based systems, natural language processing workflows, and model fine-tuning, with an emphasis on dependable product behavior.

Responsibilities - Develop and deploy AI systems for real-world product use. - Build retrieval-augmented generation pipelines and agent workflows. - Create natural language processing solutions for product needs. - Fine-tune models and integrate them into working systems. - Turn research concepts into production-ready capabilities.

Requirements - Ability to develop and deploy AI or machine learning systems. - Familiarity with RAG pipelines, agents, NLP workflows, or fine-tuned models. - Ability to translate research into reliable production software.