Head of Engineering

Harrington Starr; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Bonus

Equity

Job summary

Harrington Starr seeks a Principal AI Engineer to shape the next generation of its AI capability in capital markets. This hands-on technical leadership role combines architecture influence with deep engineering involvement.

You will design production-grade AI applications, build scalable LLM-powered services, mentor engineers and drive performance in AI systems, working closely with engineering leadership. Experience deploying at scale in financial services and a track record delivering complex

Qualifications

• Experience deploying production LLM applications.
• Strong background with RAG, AI agents and modern AI frameworks.
• Experience with vector databases, cloud platforms and scalable distributed systems.
• Track record of owning complex technical projects from concept through production.
• Previous experience within financial services or capital markets.

Responsibilities

• Design, build and deploy production-grade AI applications.
• Architect scalable RAG pipelines, agentic workflows and LLM-powered services.
• Build reliable AI APIs and backend services using Python.
• Drive model evaluation, prompt optimisation and AI system performance.
• Partner with engineering leadership on architecture and technical strategy.
• Mentor engineers and help establish best practices across the AI function.

Skills

Production LLM deployment

RAG & AI agents

LLM frameworks

Vector databases

Cloud platforms

Distributed systems

Technical leadership

Python

APIs

Tools

Python

APIs

ML tooling

Job description

I'm working with a well-funded capital markets technology business that's building an AI-first platform to solve complex problems across financial services. They're looking to hire a Principal AI Engineer to help shape the next generation of their AI capability.

This is a hands-on technical leadership role for someone who has built and deployed production AI systems at scale. You'll have significant influence over architecture, technical direction and the delivery of AI-powered products, while remaining deeply involved in engineering.

The role

• Design, build and deploy production-grade AI applications.
• Architect scalable RAG pipelines, agentic workflows and LLM-powered services.
• Build reliable AI APIs and backend services using Python.
• Drive model evaluation, prompt optimisation and AI system performance.
• Partner with engineering leadership on architecture and technical strategy.
• Mentor engineers and help establish best practices across the AI function.

What they're looking for

• Experience building and deploying production LLM applications.
• Strong background with RAG, AI agents and modern AI frameworks.
• Experience with vector databases, cloud platforms and scalable distributed systems.
• A track record of owning complex technical projects from concept through production.
• Previous experience within financial services or capital markets

Why it's worth exploring

• Join a business building AI at the core of its product rather than as an add-on.
• High levels of ownership and influence over technical direction.
• Solve challenging engineering problems with modern AI technologies.
• Work alongside experienced engineering leaders in a fast-paced environment.
• Competitive compensation, bonus and equity.