Sr AI​/Agentic Engineer

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A Day in the Life The Senior AI Engineer will deliver the Lendistry AI strategy. This is a hands-on applied engineering role for an experienced LLM practitioner who can take ownership of end-to-end AI features — from design through production operation — and help set technical direction for the engineers building alongside you.

You will work directly with the VP Organizational Intelligence, the AI team lead, and the Senior Staff Engineer, AI. You will lead the day-to-day delivery of agentic workflows, document intelligence, retrieval systems, and borrower- and operator-facing AI experiences, and you will help mentor more junior AI engineers on the team. You will contribute to and shape the shared AI platform — the prompt registry, tool-calling framework, evaluation harness, and inference routing layer — that every Lendistry product team consumes.

Lendistry:
Who We Are We’re proud to be the nation’s largest minority-led, tech-savvy lender for small businesses and commercial real estate. As a certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), our mission is all about creating economic opportunities and fueling growth for small business owners and their communities. Join us as we pave the way with innovative financing and financial education!

What You’ll Be Doing As a Senior AI Engineer on the Lendistry AI team, you will lead the delivery of:

Document intelligence pipelines that read loan applications, tax returns, bank statements, and financial statements with human-level comprehension and full audit trails.

Underwriting copilots that surface risk signals, policy checks, and recommended conditions in real time for Lendistry underwriters.

Borrower-facing conversational AI that helps small business owners navigate applications, understand decisions, and manage their loans.

Shared AI platform components — prompt registry, tool-calling framework, evaluation harness, retrieval infrastructure, and the inference routing layer that every product team consumes.

The evaluation and observability layer that turns AI reliability from a hope into a measured, managed property of the system.

LLM Systems Ownership Own end-to-end LLM features — from requirements through design, implementation, evaluation, deployment, and production operation — across origination, underwriting, servicing, and borrower experience.

Lead the design of new agentic workflows — LLMs that plan, call tools, evaluate results, and iterate across multi-step lending tasks with appropriate human-in-the-loop controls.

Maintain, debug, and improve existing LLM-powered features already running in production — prompt pipelines, retrieval systems, and the document intelligence stack.

Fine-tune and adapt foundation models (including LLaMA-family open-weight models and Bedrock-hosted models) to Lendistry-specific tasks using LoRA, QLoRA, instruction tuning, and prompt optimization techniques.

Design and build RAG systems end to end —…