Principal AI Engineer - Production LLMs & Equity

Harrington Starr; Boston (MA); On-site; USD 180,000 - 260,000; Full time

Job summary

Harrington Starr is seeking a Principal AI Engineer to shape the next generation of its AI capability within its capital markets technology platform. This hands-on technical leadership role involves building and deploying production AI systems at scale, and shaping architecture and strategy across the AI function.

You will design scalable AI solutions, mentor engineers, and collaborate with engineering leadership to drive technical direction while delivering AI-powered products in a fast-paced

Qualifications

• 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.

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

LLM applications

RAG

AI agents

AI frameworks

Vector databases

Cloud platforms

Distributed systems

Project ownership

Financial services domain

Tools

Python

Job description

Harrington Starr is seeking a Principal AI Engineer to shape the next generation of its AI capability within its capital markets technology platform. This hands-on technical leadership role involves building and deploying production AI systems at scale, and shaping architecture and strategy across the AI function.

You will design scalable AI solutions, mentor engineers, and collaborate with engineering leadership to drive technical direction while delivering AI-powered products in a fast-paced