Applied AI Engineer

Reposted 12 Days Ago
Headquarters, AZ
In-Office
Mid level
Financial Services
The Role
As an Applied AI Engineer, you will develop advanced multimodal AI systems focused on voice interactions, ensuring compliance with financial regulations and implementing safety frameworks.
Summary Generated by Built In
About Us

We’re building the AI infrastructure powering the future of financial operations - starting with automating the most painful and complex workflows in loan servicing.

  • Backed by a16z and Y Combinator, with $65M raised in Series A funding.

  • 8-figure ARR < 2 years already serving > 20% of the auto lending industry, and processing millions of real customer calls and transactions daily.

  • Fully deployed with major financial institutions - not just PoCs.

  • We are expanding into new financial services segments!

  • In-person office culture in San Francisco, CA.

We're fully integrated with our customers, own the full stack, and are moving fast to bring modern AI into regulated industries where precision, reliability, and performance matter most.

About the Role

We’re hiring an Applied AI Engineer to design, build, and scale the systems that power our next-generation voice AI platform.

You’ll work across the stack - from LLM fine-tuning and retrieval pipelines to real-time voice interactions - delivering production-grade systems that learn from real users in the wild.

This is a hands-on role focused on fast iteration, technical depth, and measurable impact in production.

What You’ll Do
  • Develop multimodal AI systems with a focus on natural, real-time voice interactions

  • Implement safety and alignment frameworks for LLM-driven user experiences

  • Build scalable monitoring systems to detect and respond to unexpected model behavior

  • Balance rapid feature deployment with long-term system reliability and scalability

  • Ensure compliance with financial and data safety regulations

  • Collaborate closely with engineering, product, and research teams to ship quickly and iterate continuously

What You’ll Bring
  • 2+ years of experience working directly with LLMs or voice AI technologies (voice experience is a plus, not required)

  • Deep expertise in LLM development (RAG, fine-tuning, prompt design, evaluation)

  • Proven ability to ship and maintain production AI systems at scale

  • Strong background in ML systems design and engineering best practices

  • Excellent communication and cross-functional collaboration skills

  • Based in or willing to relocate to San Francisco (4 days/week in office)

At Salient, we’re building at the edge of AI - fast, focused, and with real ownership. Sprints and major launches move quickly, and we look for people who are energized by that pace and ready to collaborate in person 4 days a week in our San Francisco office.

We also offer a benefits package designed to support our full-time employees: medical, dental, and vision coverage, a generous 401(k), and catered lunches.

Top Skills

Asr
Llms
Machine Learning
Multimodal Ai
Tts
Voice Ai
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
0 Employees

What We Do

At Salient, we’re rebuilding consumer loan servicing from the ground up - with agentic AI at the core. We started with auto lending, a $1.5 trillion industry and one of the most fragmented parts of financial services. We’re powering a more transparent, compliant, and consumer friendly future and seeking smart, driven and passionate colleagues to roll up their sleeves and join us in this mission.

In under two years since launching:
* We’ve grown to over $10M+ in ARR
* Signed enterprise deals with some of the largest consumer lenders in the country
* Reached over 2 million U.S. consumers, powering everything from payments to personalized support
* Achieved cash flow positivity, giving us control over our own destiny
* Raised $65M from top tier investors who believe in our long term vision
* Processed more than $150M in loan payments and flagged $30M+ in fraud attempts using real-time AI systems
* Identified over 35,000 compliance violations through automated regulatory intelligence

Similar Jobs

YCharts Logo YCharts

Software Engineer

Cloud • Fintech • Software • Financial Services
Remote or Hybrid
United States
142 Employees
140K-180K Annually
Hybrid
Scottsdale, AZ, USA
205000 Employees

Wells Fargo Logo Wells Fargo

Principal Architect

Fintech • Financial Services
Hybrid
4 Locations
205000 Employees
159K-305K Annually

Wells Fargo Logo Wells Fargo

Personal Banker Bell and Tatum

Fintech • Financial Services
Hybrid
Phoenix, AZ, USA
205000 Employees

Similar Companies Hiring

Amplify Platform Thumbnail
Fintech • Financial Services • Consulting • Cloud • Business Intelligence • Big Data Analytics
Scottsdale, AZ
62 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
80 Employees
Granted Thumbnail
Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account