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Focused Labs

Enterprise software with custom AI agents

Lead Engineer: Agent Academy

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeDenver, CO, USA$175k - $190k /yr

About the Job

Requirements

  • Demonstrated track record delivering software as a hands-on full-stack engineer in collaborative, agile environments.
  • Experience leading engineering teams and mentoring and supporting developers.
  • Proficiency in Python and/or JavaScript/TypeScript; Ruby or a similar language is also acceptable.
  • Experience diagnosing and fixing production concurrency problems, including async/await or thread-based systems.
  • Experience owning testing strategy across unit and integration tests, regression suites, and continuous integration gates; familiarity with test-driven development and pairing.
  • Experience designing deployment, identity and access management, or observability for a containerized system on a cloud provider, and taking a system through a scaling inflection.
  • Experience across company sizes from startups to enterprise, navigating complex organizations, building cross-functional relationships, and helping teams adopt modern development practices.
  • Ability to manage difficult stakeholder interactions while maintaining relationships, anticipate problems, and explain technical risks and outcomes to nontechnical audiences.
  • Interest in AI and delivering practical value, and willingness to share learning and strengthen the team.
  • Must earn the LangChain Certified Agent Engineer certification and the Claude Architect certificate during the training program.

Responsibilities

  • Write code and lead teams through end-to-end delivery across the stack, from backend services to modern web user interfaces.
  • Set technical direction for client engagements and serve as the escalation point for difficult issues.
  • Pair program daily with teammates and clients to share knowledge and improve code quality.
  • Practice test-driven development and continuous refactoring, and own the codebase testing strategy, including deciding what not to test.
  • Guide architecture decisions supporting scalability, observability, and performance, including deployment, identity and access management, and observability design for containerized systems.
  • Collaborate with designers, product managers, and stakeholders to continuously deliver valuable software.
  • Map business value to engineering effort to help clients make tradeoffs.
  • Coach developers through pairing, mentoring, and modeling healthy engineering culture.
  • Drive incremental process improvement through retrospectives and day-to-day feedback.
  • Influence technical direction across client organizations and the company's internal practices by sharing lessons, shaping approaches, and improving practices.
  • Experiment with new patterns in generative AI, share findings, and help evolve approaches to building AI-powered software.

Desired Qualifications

  • Exposure to large language model APIs or agent frameworks.
  • Experience building AI-enabled applications with LangChain and large language models that deliver production-ready client outcomes.
  • Deep expertise in LangChain, LangGraph, and LangSmith.
  • Understanding of how to architect AI-native systems responsibly and effectively.

About the Company

Focused Labs

Enterprise software with custom AI agents

Focused Labs builds custom AI agents and modernizes legacy systems for enterprise clients, embedding senior engineers into client teams so solutions are built and owned by the client. It connects to the client’s existing tech stack and uses LangChain-based RAG pipelines and AI agents, evaluated through an Evaluation-Driven Development process to ensure production readiness. Unlike many firms, it maintains close, in-house collaboration and emphasizes ownership, lean delivery, and a formal testing framework, aided by a LangChain partnership and access to GenAI tools. Its goal is to help enterprises adopt and scale AI by delivering integrated, maintainable solutions that modernize legacy systems while preserving client ownership and control.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2018

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