# AI Engineer - Cortex Code Quality

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** ML Engineering
**Salary:** $160k – $230k/yr
**Experience:** 5+ years
**Skills:** Python, TypeScript, Go, LLMs, RAG, dbt, Airflow, Agentic Workflows, Evaluation Pipelines, Prompt Engineering
**Posted:** 2026-03-24

> 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.

## Job Description

## Responsibilities
- Own features end-to-end for Snowflake Cortex Code products.
- Build agentic workflows, coding harnesses, evaluation pipelines.
- 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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