Skip to content
SnowflakeSnowflakeMenlo Park, CA

AI Engineer - Cortex Code Quality

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 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.

Skills

PythonTypeScriptGoLLMsRAGdbtAirflowAgentic WorkflowsEvaluation PipelinesPrompt Engineering

Similar roles

ML Engineering jobs
Pindrop

Research Scientist II

PindropUnited States

Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.

160k – 185k
Remote3+ YOEML Engineering
Snowflake

AI Engineer - Database Engineering

SnowflakeMenlo Park, CA

As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.

160k – 230k
On-site5+ YOEML Engineering
Snowflake

Software Engineer, Cortex AI Infrastructure

SnowflakeMenlo Park, CA

Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.

160k – 225k
On-site4+ YOEML Engineering
Mach9

ML Infrastructure Engineer

Mach9San Francisco, CA

Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.

160k – 200k
On-site3+ YOEML Engineering
Deepgram

ML Ops Infrastructure Engineer

DeepgramCalifornia

Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.

160k – 220k
Remote4+ YOEML Engineering