Founding Applied AI Engineer

Founding Front End Engineer at Salient

About Us

Salient is a pioneering AI platform tailored for the largest auto lenders in the United States. Our technology empowers financial institutions to autonomously conduct over 100,000 calls daily, facilitating payment collections, fraud detection, dispute resolution, and the automation of critical enterprise workflows.

Harnessing the power of more than 10 proprietary in-house Large Language Models (LLMs) and speech diffusion models, Salient delivers low-latency, humanlike interactions that strictly adhere to regulations set forth by the Consumer Financial Protection Bureau (CFPB) and the Securities and Exchange Commission (SEC).

Joining Salient means collaborating with a highly skilled founding team hailing from Carnegie Mellon and Columbia, boasting a decade's worth of experience at leading companies such as Tesla, Airtable, Goldman Sachs, and Dropbox. Backed by our industry expertise and early successes, we've secured a $4M seed investment from Y Combinator, Matrix Partners, and General Catalyst, alongside executive backers from Tesla, Stripe, Brex, and more.

With seven-figure revenue, profitable cash flow, and a growing list of clients eager to onboard, Salient is poised for rapid expansion.

About the Role

Salient is actively seeking a Founding Applied AI Engineer with a specialization in Large Language Models (LLMs) to join our engineering team. This is an unparalleled opportunity to impact our company culture, drive innovation in AI-powered products, and make a significant contribution to our technological direction.

You Will:

- Develop and refine cutting-edge AI products with a focus on Large Language Models, enhancing the financial sector's capabilities.

- Partner closely with the founding team and clients to steer the strategic direction of our LLM initiatives.

- Display adaptability and a willingness to take on multi-faceted challenges in a fast-paced startup environment.

Minimum Requirements

- Deep understanding of and practical experience with Large Language Models such as GPT-3, BERT, or similar frameworks.

- Proven track record of implementing LLMs in real-world applications, particularly in natural language understanding, generation, and conversational AI.

- Expertise in Python and familiarity with AI/ML libraries and tools.

- Knowledge of data structures, algorithms, and software engineering best practices.

- Proficiency with version control systems, notably Git.

- 2+ years of relevant work experience in a high-velocity tech or financial services environment.

- Passionate about AI with a keen interest in staying abreast of the latest LLM developments and trends.

- Strong communication skills for effective collaboration and the ability to convey complex AI concepts to diverse audiences.