Senior Machine Learning Engineer

People In AI; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

People In AI in New York City is building an internal AI engineering function from the ground up, delivering practical AI products that solve real business problems. You’ll work with operators, tech teams, and senior stakeholders to drive measurable value and adoption.

This role blends software engineering, ML, LLMs, and retrieval systems, giving you ownership from concept to production and visibility with leadership. A fast-paced, entrepreneurial environment awaits.

Qualifications

• Production Python experience is required.
• Hands-on AI development with LLMs, NLP, embeddings or retrieval systems.

Responsibilities

• Build production AI applications using LLMs, embeddings, retrieval systems and NLP techniques.
• Design intelligent workflows to automate complex processes.
• Prototype full-stack AI products including backend services and lightweight UIs.
• Develop evaluation frameworks, prompt strategies and experimentation pipelines.
• Collaborate with stakeholders to translate challenges into production AI solutions.
• Own projects from ideation through deployment and continuous improvement.

Skills

Python

AI products

LLMs

NLP

Embeddings

Retrieval systems

Communication skills

Prototype

Tools

PyTorch

Hugging Face

Job description

Location: New York City preferred (Hybrid)

Join a highly respected investment organization building an internal AI engineering team from the ground up. This is an opportunity to work directly with the organization's AI leadership, developing production AI systems that drive measurable value across a diverse portfolio of businesses and internal operations.

This isn't an AI research lab or a consulting role. You'll build practical AI products that solve real business problems, partnering with operators, technical teams, and senior business stakeholders to deliver high-impact solutions.

The Mission

Artificial intelligence is becoming a strategic capability across the organization. The team is focused on identifying high-value opportunities, rapidly prototyping solutions, and deploying production AI systems that automate workflows, improve decision-making, and unlock operational efficiencies across multiple industries.

This is a chance to help shape a newly formed AI function while working on commercially meaningful problems with direct executive visibility.

The Role

You'll join a small, highly technical AI team responsible for designing, building, and deploying modern AI applications. The role combines software engineering, machine learning, LLMs, retrieval systems, and lightweight product development, giving you ownership from concept through production.

This is ideal for engineers who enjoy solving ambiguous problems, building quickly, and seeing their work deployed into real business environments.

What You'll Do

• Build production AI applications using LLMs, embeddings, retrieval systems, and modern NLP techniques
• Design intelligent workflows that automate complex business processes
• Prototype full-stack AI products, including backend services and lightweight user interfaces
• Develop evaluation frameworks, prompt strategies, and experimentation pipelines
• Partner with business and technical stakeholders to translate open-ended challenges into production AI solutions
• Own projects from ideation through deployment and continuous improvement

What You'll Bring

• Strong software engineering fundamentals with production Python experience
• Hands-on experience building AI applications using LLMs, NLP, embeddings, or retrieval systems
• Experience with frameworks such as PyTorch, Hugging Face, or similar ML tooling
• Ability to rapidly prototype and ship production-quality software
• Strong communication skills and comfort working with both technical and non-technical stakeholders
• A builder's mindset with a desire to work in a fast-paced, entrepreneurial environment

Why Join?

• Build from Day One: Help shape a newly established AI engineering function with significant influence over technical direction.
• High Visibility: Work directly with senior leadership on strategic initiatives that have organization-wide impact.
• Meaningful Problems: Build AI systems that deliver measurable business value across a broad range of industries and use cases.
• Ownership: Take products from idea to production in a small, high-performing team where engineering decisions matter.

About People In AI

People In AI partners with leading AI startups, technology companies, and innovation-focused organizations to connect exceptional engineers with high-impact opportunities. Every role we represent is carefully selected for its technical challenge, growth potential, and real-world impact.