Applied AI Engineer

Salient is building the future of consumer loan servicing, transforming the auto lending industry through multimodal AI solutions.
$180,000 - $270,000
Machine Learning
Mid-Level Software Engineer
In-Person
51 - 100 Employees
3+ years of experience
AI · Finance

Description For Applied AI Engineer

Salient is at the forefront of revolutionizing loan servicing through innovative multimodal AI solutions. As an Applied AI Engineer, you'll be instrumental in building and deploying sophisticated LLM and voice systems that power millions of automated financial interactions. The role combines cutting-edge AI technology with practical applications in the financial sector.

The company has shown impressive growth since its September 2023 launch, achieving over $10M in ARR and becoming cash flow positive. They've successfully partnered with major consumer lenders in America and have processed over $150M in cash transactions while preventing $30M in fraud. Salient is backed by prestigious investors including Andreessen Horowitz, Matrix, General Catalyst, and Y Combinator.

This role offers an exciting opportunity to work at the intersection of AI and financial services, with responsibilities including developing state-of-the-art multimodal AI systems, implementing safety frameworks, and ensuring compliance with financial regulations. You'll be working with modern LLM techniques, voice AI technologies, and building scalable monitoring systems.

The position requires 3+ years of experience in LLMs or voice AI technologies, with deep expertise in modern techniques like RAG, fine-tuning, and prompt engineering. You'll need a strong background in ML systems design and engineering best practices, along with excellent cross-functional communication skills. The role offers competitive compensation ($180K – $270K) with equity (0.05% – 0.3%), and requires 4 days in-person presence in San Francisco.

Join a company that has already made significant impact by interfacing with more than 2 million unique US consumers and identifying 35k+ CFPB violations. This is an opportunity to push the boundaries of multimodal AI in financial services while working with a team that values innovation and practical implementation of cutting-edge technology.

Last updated 4 hours ago

Responsibilities For Applied AI Engineer

  • Developing state-of-the-art multimodal AI systems, with particular focus on voice interactions
  • Implementing robust safety and alignment frameworks for LLM-consumer interactions
  • Building scalable monitoring systems to detect and escalate unexpected model behaviors
  • Balancing rapid feature deployment with architectural scalability
  • Ensuring AI systems comply with financial regulations and safety requirements

Requirements For Applied AI Engineer

Python
  • 3+ years of experience working directly with LLMs or voice AI technologies
  • Deep expertise in modern LLM techniques (RAG, fine-tuning, prompt engineering)
  • Experience with voice AI, ASR, and TTS technologies
  • Track record of building and deploying production AI systems at scale
  • Strong background in ML systems design and engineering best practices
  • Excellence in cross-functional communication
  • Experience implementing AI safety and monitoring frameworks
  • 4 days in-person in San Francisco

Benefits For Applied AI Engineer

Equity
  • Equity (0.05% – 0.3%)

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