Our client, a leading FinTech organization, are hiring a Principal Machine Learning Engineer to join their Applied AI team in New York. The successful candidate will take technical ownership of a key product line, specializing in generative AI solutions that leverage large language models (LLMs) at their core.

Increase your chances of an interview by reading the following overview of this role before making an application. Responsibilities Shape and execute the company’s AI strategy to drive continuous innovation and business growth.

Work closely with product and engineering teams to develop comprehensive, end-to-end AI-powered products.

Design and implement multi-agent systems that automate workflows and enhance operational efficiency.

Develop AI-driven co-pilot tools to optimize advisor processes such as prospecting, conversion, onboarding and client servicing.

Build tailored models to manage complex financial interactions, delivering fast, actionable insights.

Create innovative solutions to seamlessly integrate and optimize legacy systems with modern AI technologies.

Lead rapid zero-to-one product development cycles, including prototyping, testing and feature integration.

Design and fine-tune both open-source and proprietary large language models for applications including question answering, summarization, reasoning and planning.

Employ reinforcement learning methods to continually enhance model accuracy and performance.

Skillset Master’s or PhD degree in Computer Science, Engineering or similar.

At least 7 years of experience in applied AI engineering, including at least 2 years in a technical leadership capacity.

Demonstrated success delivering generative AI products based on large language models.

Expertise in creating agentic workflows that enable autonomous AI functions.

Previous experience in early-stage startups or building products from the ground up.

Benefits Salary: $200,000 – $250,000

Equity.

Comprehensive health, dental and vision insurance.

Retirement benefits.

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