2 months ago
Base Salary
$200k - $270k/yr
Responsibilities
- Design and refine agent behaviors for coding and data-engineering workflows and take agents from prototype to reliable production systems.
- Own Cortex Code quality end to end by building evaluation harnesses, diagnosing agent-trajectory failure modes, and running metric-improving experiments.
- Reduce cost and latency through prompt caching, context compaction, tool-result offloading, and cheaper model routing for subtasks.
- Debug production failures and connect customer issues to fixes and regression tests.
- Build data pipelines that feed real-world task insights into evaluations and modeling.
- Onboard and evaluate frontier models, measuring strengths and failure modes and determining their product fit.
- Partner with product and infrastructure teams to shape agent behavior and define successful complex-task metrics.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field.
- At least 6 years of experience shipping production software, including AI/LLM features.
- Fluency in at least one of Python, TypeScript, or Go, with willingness to work across all three.
- Ability to design reliable evaluations using sampling, ground-truth quality, leakage, and noise considerations.
- Comfort debugging complex and unpredictable real-world failures.
- Strong communication and collaboration skills across engineering, product, and leadership.
- Preferred experience with agentic coding tools, model strengths and failure modes, and prompting limits.
- Preferred experience with evaluation harnesses, LLM observability, or production safety and guardrails.
- Background in data engineering, data modeling, analytics, retrieval/RAG, or semantic layers is highly relevant.
- Experience with large-scale datasets or production system logs is preferred.
Tech Stack
Categories
AI ApplicationsData Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.