Design and implement generative AI solutions for customer environments, taking LLM, RAG, and agent-based systems from prototypes to scalable production integrations across business processes and technical platforms.
Develop and extend an AI engine, create AI features, and research emerging technologies, applying Python, mathematics, and machine learning expertise to solve complex problems.
Build end-to-end AI tools for internal teams, spanning data collection, ML and LLM workflows, backend, UI, and deployment, while turning business ideas into production-ready products.
Build and ship enterprise AI products by designing LLM coding-agent harnesses, evaluation benchmarks, and reliable production systems, while exploring model improvements and applied research.
Combine hands-on AI engineering with technical teaching to onboard teams, lead customer and partner training, and help people build and deploy enterprise AI solutions independently.
