Applied AI Engineer: Build LLMs, NLP & MVPs

People in AI; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

People In AI is partnering with an investment firm to build an internal AI capability, delivering practical AI tools across the business and portfolio.

You’ll work directly with senior AI leadership to prototype and deploy ML-driven products, spanning LLMs, NLP, embeddings, and unstructured data, in a fast-paced startup-like environment backed by a major platform.

This hands-on role offers high exposure to senior sponsors and real-world impact on value creation.

Qualifications

• Strong Python and CS fundamentals.
• Hands-on ML, LLMs, NLP, or embeddings.
• Familiarity with PyTorch, Hugging Face, or similar frameworks.
• Experience in a fast-moving start-up environment.
• Strong communication skills with technical and non-technical stakeholders.

Responsibilities

• Build and prototype AI-powered internal tools and MVPs.
• Develop LLM, NLP, embeddings, and applied ML workflows.
• Support model experimentation, evaluation, fine-tuning, and deployment.
• Build lightweight backend services and front-end interfaces.
• Translate business problems into practical AI solutions.

Skills

Python

ML Fundamentals

LLMs & Embeddings

PyTorch

Full-stack prototyping

Communication skills

Tools

PyTorch

Hugging Face

Job description

People In AI is partnering with an investment firm to build an internal AI capability, delivering practical AI tools across the business and portfolio.

You’ll work directly with senior AI leadership to prototype and deploy ML-driven products, spanning LLMs, NLP, embeddings, and unstructured data, in a fast-paced startup-like environment backed by a major platform.

This hands-on role offers high exposure to senior sponsors and real-world impact on value creation.