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Software Engineer - Cortex Apps (LLM Products)

Snowflake

Software Engineer - Cortex Apps (LLM Products)

Snowflake

US-CA-Menlo Park

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

401(k) matching

Parental leave

Professional development budget

Generous paid time off and holidays

Equity

Parental Leave

Learning

Required Skills

React

PostgreSQL

JavaScript

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

The Cortex Apps team is building the future of AI for enterprise data. See our flagship product in action:Talk To Your Data: Snowflake Intelligence Demo https://www.youtube.com/watch?v=va-l7sYp3OA&ab_channel=SnowflakeInc..

Your work will directly impact how businesses understand and leverage their 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 products. Build agentic workflows, NL-to-SQL on semantic layers, search.

  • Build enterprise-grade context engineering: function calling, tool schemas, guardrails, semantic model-aware prompting for SQL, 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.

  • Lead a team of engineers towards building great products.

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.

  • Strong communication skills and ability to collaborate effectively in a team environment.

  • (Optional) Experience working with text2sql, data modeling, data analysis, retrieval systems, and semantic layers is a plus.

About Snowflake

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 our Cortex products: Snowflake intelligence https://ai.snowflake.com/, cortex agents https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents, cortex analyst https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst, cortex search https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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 http://careers.snowflake.com

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About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277 reports

$252,858

total / year

Base

$171,306

Stock

$57,741

Bonus

$23,811

$190,229

$354,557

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR