AI Engineer (Cortex Code Quality)

TL;DR

AI Engineer (Cortex Code Quality): Building the future of coding agents for working with data with an accent on designing, prompt/tool engineering, evals, deployment, measurement, and optimization. Focus on building agentic workflows, coding harnesses, and evaluation pipelines.

Location: Menlo Park, CA (USA)

Salary: $160,000 - $230,000

Company

Snowflake is the AI Data Cloud trusted by the world's most innovative companies.

What you will do

• 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.
• Work with an elite team of engineers towards building great products.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Statistics or a related field.
• 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 have

• 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 — highly relevant for data-centric coding agents.
• Prior work on eval harnesses, LLM observability, or safety / guardrails in production.

Culture & Benefits

• Culture that’s all in on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and take technology — and careers — to the next level.