Six Figure Work

Staff AI Engineer

Kastle

Company websitekastle.ai (Kastle, opens in new tab)

Base salary $250K  to $350K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Kastle

Kastle is building the AI employee for banks. We work with some of America's largest financial institutions, helping them scale their contact center and compliance operations using autonomous AI Agents that process payments, originate loans, and help customers get a world class experience during the biggest financial decisions of their lives. We've processed over $2 billion in transactions and are backed by Insight Partners and Y Combinator. If you are interested in building AI that is applied in the real world where precision, reliability, and performance matter and redefine access to credit across the world, apply below.

We just raised a $24M Series A and are growing fast!

About the Role

As a Founding Applied AI Engineer, you'll be instrumental in building the technical foundation of Kastle's AI platform. You'll fine-tune large language models, design AI workflows for highly regulated enterprises, and ensure our voice agents deliver precise, compliant, and effective borrower interactions.

This role is ideal for an engineer who is passionate about applied AI, eager to solve real-world challenges, and excited to build the technical foundation of an early-stage AI startup.

What You'll Do

  • AI Model Integration: Fine-tune and deploy LLMs for real-time voice-based borrower interactions

  • Prompt Engineering: Design and iterate on prompt strategies to optimize AI performance and compliance

  • Evaluate LLMs and AI Agents: Build high quality evals using our proprietary datasets to benchmark AI agent performance and run experiments

  • Custom AI Solutions: Train and implement domain-specific AI models for consumer lending

  • Scalability & Compliance: Ensure AI solutions meet regulatory standards (FDCPA, RESPA, TILA) and scale efficiently

  • Data Pipelines & APIs: Build robust AI-driven workflows that integrate seamlessly with loan servicing platforms

  • Continuous Optimization: Monitor performance metrics and continuously improve agent quality and borrower experience

What We're Looking For

  • 3+ years building and deploying ML/AI systems in production environments

  • Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch)

  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar)

  • Track record of shipping end to end AI systems that is at the core of company operations

  • Strong product mindset and ability to translate business requirements into AI solutions

  • Excellent communication skills to collaborate across product, engineering, and compliance teams

Why join Kastle

  • Opportunity to work with a world class team building a generational AI company that will redefine how every loan in America is made and managed

  • Ability to move fast while your work impacting millions of customers. Add a new feature in a few days and ship it to top 10 lenders the next week.

  • Competitive Compensation + Meaningful Equity at a high growth company

  • High ownership and direct input on product direction, company culture, and how the FDE function scales

Other Perks and Benefits

  • Free Health and Wellness Membership

  • Robust medical, vision, & dental coverage

  • 401(K) plan offering

  • Paid Company Meals

  • Company offsites to get to know the team

Source: Kastle on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($250,000) is above 81% of the 1,493 Data & ML roles in California listed on this site; 19 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Kastle roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Kastle roles with the nearest advertised base floor
RolePublished base
Staff AI Engineer (this listing)$250K - $350K
Staff Engineer$250K - $320K
Head of Talent$200K - $250K
Senior Product Manager$200K - $250K
Infrastructure Engineer$180K - $275K
Founding Growth Lead$170K - $200K
Forward Deployed Engineer$170K - $250K

Same $100K to $400K scale as every card. All Kastle roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2025-11-22
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 250,000 – 350,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.