Principal AI Engineer

Compensation:

$200,000–$245,000 base + equity

On-site 3-5 days per week in Manhattan

About the Company

Brio Digital is working with a leading AI technology company that partners with frontier AI research organisations and major global enterprises to accelerate the development and deployment of advanced AI systems.

The company operates at the cutting edge of Generative AI, combining specialist AI engineering talent, high-quality data and advanced training infrastructure to support frontier model development. On the enterprise side, it designs and deploys proprietary AI systems that integrate into mission-critical business workflows.

The organisation has built teams comprising experienced technologists from some of the world's leading technology companies, research institutions and consultancies, and offers the opportunity to work on complex AI programmes for large global businesses.

The Role

We are looking for a Principal AI Engineer with strong hands‑on experience building and deploying LLM‑powered applications.

You’ll take a senior technical leadership role within a Generative AI engineering organisation, working on enterprise AI programmes and collaborating with engineers across multiple disciplines.

Previous projects delivered by the team have included multi‑agent LLM systems, Retrieval‑Augmented Generation (RAG) platforms and open‑source LLM deployments for major enterprises.

This is a highly hands‑on position combining AI architecture, engineering leadership and technical delivery .

Responsibilities

• Own the technical roadmap for Generative AI projects, translating business requirements into scalable technical solutions.
• Lead engineering teams through the execution and delivery of technical roadmaps.
• Design, develop, optimise and deploy LLM‑based applications and systems .
• Build solutions using techniques including prompt engineering, RAG, agentic architectures and LLM fine‑tuning .
• Architect production‑grade Generative AI platforms and applications.
• Own and maintain high‑quality Python and SQL codebases, with a focus on reusable components, scalability and performance.
• Build AI applications using frameworks such as LangChain and LangGraph .
• Support the deployment of Generative AI applications across AWS, Azure and/or GCP .
• Implement and improve CI/CD processes and optimise cloud resource usage.
• Work closely with product owners, data scientists and business SMEs to translate business challenges into technical solutions.
• Provide technical leadership, mentoring and knowledge‑sharing across engineering teams.
• Stay current with developments across LLMs and Generative AI and identify opportunities to apply emerging approaches to production systems.

Required Experience

• 10–12+ years of professional, hands‑on software/engineering experience.
• 4–6+ years building and deploying AI/ML models and systems.
• Strong experience with one or more of RAG, agentic AI, prompt engineering and LLM‑based architectures .
• Expert‑level understanding of how to architect production Generative AI applications and systems.
• Hands‑on experience with LangChain and/or LangGraph .
• Experience deploying AI applications using AWS, Azure or GCP .
• Experience defining technical roadmaps and leading engineering teams through delivery.
• Excellent communication skills, particularly when working with business stakeholders and SMEs.

Education:

Bachelor's, Master's or PhD in Computer Science, Engineering or another relevant technical discipline .

Why Join?

This is an opportunity to join an AI‑first technology organisation working on some of the most technically challenging problems in enterprise Generative AI.

You’ll work alongside experienced AI and engineering talent, building production systems involving LLMs, RAG, agents and modern cloud infrastructure , while having significant ownership over architecture and technical direction.

The company offers:

• $200,000–$245,000 base salary + equity
• Exposure to cutting‑edge enterprise and frontier AI projects
• Significant technical ownership and leadership responsibility
• Highly collaborative engineering environment
• Opportunity to work alongside engineers and AI specialists from leading technology companies and research organisations