8+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products.
You've shipped LLM-powered or agentic features to production users, not just prototypes, including prompt engineering, RAG, evaluation and LLM deployment.
Strong programming skills in Python and proficiency in SQL.
Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent.
Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure.
Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs.
Demonstrated ability to translate business problems into data solutions that drive business value.
Proven track record of shipping user-facing features with measurable impact.
Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams.
