# Taylor Miller

> Senior Software Engineer (Applied AI)

Location: Salt Lake City Metropolitan Area, United States
Profile: https://flows.cv/taylormiller

I’m a senior software engineer who ships applied AI—RAG, reliable agents, and LangSmith-backed evals that make products faster, safer, and more useful. I work end-to-end: problem framing → data & retrieval design → prompts/tools → guardrails/evaluations → production hardening and observability.
Recent work spans LangChain/LangGraph, OpenAI/Claude/Bedrock, Python/TypeScript, Postgres/pgvector, and Pinecone/Weaviate. I care about clear problem statements, measurable quality bars, and tight feedback loops with product and GTM.

Applied AI • LLM • LangChain • LangGraph • LangSmith • RAG • Vector DB (pgvector, Pinecone, Weaviate) • Agents • Tool/Function Calling • Evals • Guardrails • Prompt Engineering • OpenAI • Claude • Bedrock • Vertex AI • Python • TypeScript • Postgres • Next.js/T3 • Observability • Experimentation • Remote-first

## Work Experience
### Senior AI Engineer @ Mangomint
Jan 2025 – Present

### Founder @ Rake
Jan 2024 – Present

### Senior/Lead AI Engineer @ Remi
Jan 2024 – Jan 2025
AI/LLM engineer delivering end-to-end generative AI solutions for internal teams and external customers across the organization. Expert in LangChain, LangSmith, and advanced prompt engineering to build production-grade AI features that automate workflows, extract insights, and enhance user experiences.

Highlights:
	•	Architected AI-powered applications using LangChain, and LangSmith to streamline operations and unlock new product capabilities.
	•	Designed prompt frameworks and evaluation pipelines (evals) to ensure accuracy, reliability, and measurable performance of LLM outputs.
	•	Integrated LLMs into customer-facing products for real-time automation, decision support, and intelligent data analysis.
	•	Partnered with cross-functional teams to identify high-ROI AI use cases, design prototypes, and scale them to production.
	•	Built robust monitoring, testing, and deployment processes for safe, high-availability AI services.

Core Skills:
Generative AI · Large Language Models (LLMs) · LangChain · LangSmith · Mastra · Prompt Engineering · AI Evals · Python · TypeScript · Cloud Deployment · API Integrations · AI Workflow Orchestration

### Senior/Lead Software Engineer @ BILL
Jan 2021 – Jan 2024
Divvy acquired by BILL June 2021-- EXIT $2.5B

### Senior Software Engineer @ Divvy | Inc.
Jan 2019 – Jan 2024

### Software Engineer @ Visible Equity
Jan 2018 – Jan 2019 | Greater Salt Lake City Area


## Contact & Social
- LinkedIn: https://linkedin.com/in/taylor-miller-

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Source: https://flows.cv/taylormiller
JSON Resume: https://flows.cv/taylormiller/resume.json
Last updated: 2026-03-22