Sr. Engineer AI​/Agentic

Lendistryis an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, or membership in any other group protected by federal, state, or local law.

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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.

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!

• 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.

• 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 — chunking strategies, embedding model selection, vector retrieval, hybrid search, and re‑ranking — tuned for financial documents and lending policy.

• Lead the development of document processing pipelines that extract structured data from PDFs, scanned images, and other unstructured financial documents using a combination of OCR, layout understanding, and LLM‑based extraction.
• Design validation, confidence scoring, and fallback mechanisms that make AI outputs safe to use in regulated, high‑stakes financial decisions — with clear audit trails and escalation paths.
• Diagnose and resolve agentic failure modes — non‑determinism, prompt sensitivity, tool misuse, looping, context‑window exhaustion, and retrieval gaps — and build the patterns that prevent recurrence across the team.