Who We Are:

At Title Resources Group (TRG), people come first. We are proud of our collaborative culture and our commitment to supporting each team member’s professional growth. We believe in helping you own, develop, and nurture your career—because your success drives ours.

TRG is one of the nation’s largest and fastest-growing title insurance underwriters, built specifically to serve the real estate industry. Operating in 37 states and the District of Columbia, we provide knowledgeable and responsive underwriting solutions to a broad network of title insurance agents.

Our mission is to cultivate lifelong relationships through exceptional service, integrity, and financial strength. At TRG, we don’t just write policies—we build partnerships that last.

Description

We’re hiring a product-minded AI Engineering Lead to build and scale production AI agents that eliminate manual work across TRG. You’ll lead end-to-end problem ownership—from workflow discovery and system design to deployment, adoption, and continuous optimization—ensuring solutions are fast, reliable, and deliver measurable business impact.

This role requires a hands-on technical leader who can both architect and build, while partnering closely with internal stakeholders to translate complex business processes into practical, production-ready AI solutions. You’ll set the standard for how we design, deploy, and scale AI across the organization.

This is a builder-led leadership role—focused on delivering real, production-grade agents used by internal teams, not research or prototypes.

What You’ll Do

Own AI agent projects from zero to one: problem framing, design, implementation, deployment, monitoring, and iteration
Embed with business teams to map workflows (title production, underwriting, ops), identify high-leverage bottlenecks, and streamline them using AI
Design agent architectures (tools/functions, memory/state, retrieval, guardrails) and write prompts that are testable and versioned
Build full-stack features in C# and TypeScript/React that make agents usable, safe, and fast for internal users
Ship on Azure using Microsoft/Azure AI Foundry: model selection, evaluation, deployment pipelines, and production operations
Instrument quality: define success metrics, create evals/test suites, reduce hallucinations and failure modes, and drive reliability over time
Partner with security/compliance to ensure data handling and access patterns are appropriate for enterprise workflows

Requirements

3–8 years building and shipping software to production (AI experience can be newer if engineering fundamentals are strong)
Strong coding ability in C# and modern TypeScript/React; consistently produces maintainable code, tests, and high-quality PRs
Hands-on experience deploying LLM/agent solutions using Azure AI Foundry (or adjacent Azure AI services) and operating them in production
Proven ability to lead and mentor a small, high-performing team, setting technical direction while remaining hands-on in delivery
Comfort with ambiguity—able to translate loosely defined problems into clear specs, milestones, and working systems
High ownership and bias to action—focuses on shipping, measuring impact, and iterating quickly over polishing demos
Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders

Tech Stack

Azure: Azure AI Foundry, Azure-hosted services and deployments
Backend: C#/.NET
Frontend: TypeScript + React

Nice to Have

Experience with RAG over internal documents (chunking, indexing, retrieval tuning) and evaluation of retrieval quality
Experience integrating agents with internal systems via APIs, queues, and workflow tools
Familiarity with security-focused or regulated environments (PII handling, least-privilege access, auditability)
Experience setting up automated evals (golden sets, regression tests) for prompts/agents

What Success Looks Like

Within 30–60 days, you ship your first agent to production and it saves measurable time for a real team
Your agents are reliable: monitored, evaluated, and improving through regression tests and iteration
Stakeholders trust you because you turn ambiguity into clear plans and shipped software

You raise the engineering bar with strong code quality, pragmatic architecture, and ownership

Why Join TRG

Lead the AI transformation of one of the nation’s premier title insurance underwriters.
Drive innovation that empowers employees, agents, lenders, and customers.
Be part of a people-centric culture where technology is used to build trust, strengthen relationships, and create confident closings
TRG is committed to offering a flexible work environment. This is a remote role, meaning you have the flexibility to work from home.
Title Resources Group offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave, tuition reimbursement, life insurance, disability, and other great benefits.

About TRG

TRG is one of the nation’s largest and fastest-growing title insurance underwriters, delivering trusted solutions to a broad range of customers and protecting property ownership rights across America. At TRG, we don’t just underwrite title insurance policies – we build partnerships that last.

As part of our broader network, we proudly serve leading affiliate partners, including Anywhere Real Estate, Inc. a subsidiary of Compass, Inc. (d/b/a Compass International Holdings) (NYSE: COMP), HomeServices of America (a Berkshire Hathaway affiliate), Lennar (NYSE: LEN and LEN.B), and Opendoor Technologies Inc. (NYSE: OPEN) – and a large network of strong independent agents.

We are powered by our people—their expertise, dedication, and passion drive everything we do. As a Great Place to Work®-certified company, we believe our employees are our greatest asset. Your success drives ours, and at the core of our company is a commitment to help you own, develop, and nurture your career.

Everyone is welcome at TRG. We know diverse teams build a stronger Organization and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

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