Senior / Software Engineer - Cortex Code Agentic System

Snowflake·US-CA-Menlo Park·11 авг.

Senior / Software Engineer - Cortex Code Agentic System

🏢 ОфисSeniorПолная занятость

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Наша компания

Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code Cortex agents Cortex analyst Cortex search

Чем предстоит заниматься

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

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

Наши требования

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

Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement

5+ years of experience shipping AI/ML-backed software in production, including senior-level ownership of technical direction, cross-team delivery, and mentoring

Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks

Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two)

Exceptional communication skills: crisp write-ups, constructive debate, and ability to influence without authority across engineering and product

(Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus

Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits

Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents

Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production

Дополнительно

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

Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements

Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps

Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Snowflake

US-CA-Menlo Park

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано11 авг.

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