AI Engineer

### Who you are
- 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
- (Optional) Experience working with data engineering pipelines (dbt, airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus
- 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
- Have built and owned complex systems — pipelines, orchestration, or software with substantial state, branching logic, and operational requirements
- Thrive in high-intensity environments with short feedback loops and high standards for rigor
- Take problems to completion independently: you don’t stop at a prototype; you care about production reliability and clear metrics
- Are a power user of modern coding agents and care about turning that intuition into systematic measurement and improvement

### What the job involves
- The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA
- Your work will directly impact how developers and businesses build with data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team. What you will do in this role:
- 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
- Work with an elite team of engineers towards building great products

### Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program