3 hours ago

Software Engineer, Agents for Code

Snowflake

On Site
Full Time
$195,000
Menlo Park, CA

Job Overview

Job TitleSoftware Engineer, Agents for Code
Job TypeFull Time
Offered Salary$195,000
LocationMenlo Park, CA

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Job Description

Software Engineer, Agents for Code at Snowflake

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.

About the Cortex Team

The Cortex team is leveraging coding agents to accelerate user workflows. Our mission is to build autonomous, agentic systems that augment and automate complex coding, migration, and testing workflows.

Your work will directly impact the speed at which the world’s largest companies modernize their data stacks. You will work within a high-powered team of engineers and scientists. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization.

What You Will Do

  • Build Agentic Systems: Build sophisticated agents and tools for migrating SQL and ETL pipelines from legacy systems for customers adopting Snowflake.
  • Quality Improvements: Create "golden sets" and rubrics to measure the accuracy of AI-driven processes across various workflows. "Hillclimb" on metrics to optimize agentic systems.
  • Scale Automated Coding: Scale automated coding agents to reduce human effort by 90%.
  • Design & Execute Evals: Collaborate with FDE and Product: Partner with Forward Deployed Engineers (FDEs) and other product teams to translate real-world challenges into automated product features, ensuring a rapid feedback loop for tooling improvements.

Requirements

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Experience: 1-5 years of software engineering experience, with a strong interest or project experience in shipping AI/ML features or LLM-based applications.
  • Technical Proficiency: Strong programming skills in Python and experience with SQL (Snowflake, SQL Server, Oracle, or Teradata experience is a plus).
  • AI Fundamentals: Familiarity with AI engineering and agentic workflows.
  • Communication: Strong communication skills and ability to collaborate effectively in a team environment.

About Snowflake

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.

Compensation & Benefits

The estimated base salary range for this role is $160,000 - $230,000. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Key skills/competency

  • Software Engineering
  • AI/ML
  • LLM applications
  • Python programming
  • SQL databases
  • Agentic Systems
  • ETL pipelines
  • Data Modernization
  • Prompt Engineering
  • System Optimization

Tags:

Software Engineer
AI engineering
LLM
agentic systems
SQL migration
ETL pipelines
evaluation
prompt engineering
automated coding
product collaboration
quality improvement
Python
SQL
Snowflake
SQL Server
Oracle
Teradata
AI/ML frameworks

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How to Get Hired at Snowflake

  • Research Snowflake's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight Python, SQL, AI/ML, and LLM project experience relevant to agentic systems.
  • Showcase problem-solving skills: Prepare to discuss complex technical challenges and your collaborative approach.
  • Master technical fundamentals: Be ready for interviews covering data structures, algorithms, system design, and AI/ML concepts.
  • Demonstrate impact focus: Articulate how your work aligns with modernizing data stacks and driving efficiency.

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