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Staff AI Engineer

  • Office
  • 6+ years

Salary

$250,000 - 350,000/ year

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Description

About the company

The company 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. 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.

About the Role

As a Founding Applied AI Engineer, you'll be instrumental in building the technical foundation of the company'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.

Responsibilities

  • 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

Requirements

  • 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

Benefits

  • 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
  • Experience: 8+ years
  • Visa: US citizen/visa only

Where you’d work

From the office

The office

No visa sponsorship

About the company

Company hidden

  • Industry: FinTech

Office in San Francisco, United States

Your chances

Still hiring, not crowded yet, and a person reads your message.

  • 19 checks run
  • 8 good signs
  • 3 red flags

Still hiring?

13 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 4 h agoModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
  • States its salarySlight evidence
1 moreFewer
  • A hiring contact is attached to itSlight evidence

Against it1

  • Posted 5 weeks ago, older than 89% of the open roles we trackModerate evidence

How crowded?

6 checks

Low

In its favour4

  • Asks for 8+ years: a narrow poolModerate evidence
  • You can message the hiring contact and skip the queueModerate evidence
  • In the office in San Francisco: only people nearby can take itSlight evidence
1 moreFewer
  • Asks for LangChain, which only 1% of open roles doSlight evidence

Against it2

  • Open for 5 weeks: applications have had time to pile upModerate evidence
  • Pays more than 84% of similar roles: that draws applicantsSlight evidence

Fits Me

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  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details14 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • PyTorch
  • LLMs
  • LangChain
  • TensorFlow
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
FinTech
Specialty
ML
Show 8 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
8+ years
Tech stack
  • Python
  • PyTorch
  • LLMs
  • LangChain
  • TensorFlow

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States
Visa sponsorship
Not sponsored

Compensation

Salary
$250,000 - 350,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
FinTech

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