Builds and owns end-to-end AI features for Cortex Code, including agentic workflows, context engineering, evaluations, and optimization. Requires 5+ years shipping production AI, proficiency in Python/TypeScript/Go, and bachelor's in CS or related.
160k – 230k
On-site5+ YOEML Engineering
About the role
Responsibilities
Own features end-to-end for Snowflake Cortex Code products.
Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, and verification/repair.
Design evals and hillclimb: create golden sets, create rubrics and metrics, analyze errors, run experiments to hill climb on the metrics.
Partner with product and infra: translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
Requirements
Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not a requirement.
5+ years of experience shipping AI features in production.
Proficiency in programming languages such as Python, Typescript, Go.
Strong communication skills and ability to collaborate effectively in a team environment.
Nice to Haves
Experience working with data engineering pipelines (dbt, airflow), data modeling, data analysis, retrieval systems, and semantic layers.
Deep experience with agentic coding tools (e.g. IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic layers.
Prior work on eval harnesses, LLM observability, or safety / guardrails in production.
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