Applied AI Engineer
Description For Applied AI Engineer
Salient is revolutionizing the auto lending industry through innovative AI-powered loan servicing solutions. As an Applied AI Engineer, you'll be at the forefront of developing and deploying sophisticated LLM and voice systems that manage millions of automated financial interactions. The role combines cutting-edge AI technology with practical applications in financial services.
The company has shown impressive growth since its September 2023 launch, having raised $65M in funding and partnered with major consumer lenders in America. They've already processed over $150M in cash transactions, prevented $30M in fraud, and identified 35k+ CFPB violations, demonstrating real-world impact.
You'll work directly with multimodal AI systems, focusing on voice interactions and LLM implementations while ensuring compliance with financial regulations. The role requires expertise in AI safety, monitoring frameworks, and scalable system design. You'll be joining a fast-growing team backed by top-tier investors including Andreessen Horowitz, Matrix, General Catalyst, and Y Combinator.
This position offers an exciting opportunity to shape the future of financial services through AI innovation. You'll be working on systems that directly impact millions of US consumers while helping to transform the traditional lending industry. The role combines technical challenges with real-world applications, making it ideal for someone passionate about both AI technology and financial innovation.
Responsibilities For Applied AI Engineer
- Developing state-of-the-art multimodal AI systems, with 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
- 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
Benefits For Applied AI Engineer
- 0.05% - 0.30% equity
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