Lead AI Engineer: LangChain & GenAI Delivery

Focused; Denver (CO); Hybrid; USD 175,000 - 250,000; Full time

Job summary

Focused is a Denver-based software partner delivering AI-enabled applications with LangChain and LLMs. You will lead end-to-end delivery, pair with teammates and clients, and drive architecture decisions to ensure scalable, observable systems.

The role requires hands-on full-stack expertise and a passion for evolving engineering culture. Ideal candidates have experience with LangChain or similar frameworks, strong leadership skills, and a track record of delivering high-quality software across

Qualifications

• Hands-on, full stack engineer with agile delivery experience.
• Experience with LangChain or similar agent frameworks and AI-native architecture.
• Experience leading engineering teams and mentoring developers.
• Strong emphasis on code quality, TDD, and pairing to improve systems.
• Proficiency across multiple languages/frameworks (Python, Node, Java, React, Next.js).

Responsibilities

• Build AI-enabled applications using LangChain and LLMs for production-ready client outcomes.
• Lead end-to-end delivery across the stack from backend services to modern UIs.
• Pair program daily with teammates and clients to share knowledge and improve code quality.
• Practice TDD and refactoring to ensure reliable and maintainable code.
• Guide architecture decisions for scalability, observability, and performance.
• Collaborate with designers, product managers, and stakeholders to deliver value.

Skills

LangChain

LangGraph

LangSmith

Full stack

Python

Node.js

React

Next.js

TDD

Pair programming

Tools

FastAPI

OpenAI APIs

APIs integration

Job description

Focused is a Denver-based software partner delivering AI-enabled applications with LangChain and LLMs. You will lead end-to-end delivery, pair with teammates and clients, and drive architecture decisions to ensure scalable, observable systems.

The role requires hands-on full-stack expertise and a passion for evolving engineering culture. Ideal candidates have experience with LangChain or similar frameworks, strong leadership skills, and a track record of delivering high-quality software across