Remote Lead AI Engineer

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Description:

  • Career Karma is seeking a Lead AI Engineer to join the team and lead the design and development of web applications with a focus on integrating AI capabilities.
  • The role involves driving technical excellence by aligning software and systems to the overall technical strategy.
  • Responsibilities include leading the design and implementation of AI capabilities into web applications, defining technical solutions, conducting AI-related spikes and R&D projects, performing code reviews, and mentoring peers.
  • Required skills include 10+ years of full-stack or back-end software engineering experience, experience implementing AI solutions, commercial experience with Python, familiarity with security best practices, and strong English communication skills.
  • Additional skills that would be a plus include experience with GraphQL, Prisma ORM, Apollo Client, Apollo Server, DevOps/Cloud experience, and working in architect positions.
  • Career Karma is a global, fully remote company based in San Francisco, with products for both B2B and B2C markets and a mission-driven team located in 11 countries around the world.

Requirements:

  • 10+ years of experience in the role of full-stack or back-end software engineer.
  • Mandatory experience implementing AI solutions (prompt engineering, LLM, Conversational AI).
  • Commercial experience with Python.
  • Experience with LangChain, LangSmith, RAG, Multi-agency designs.
  • Experience in conducting R&D projects and technological explorations.
  • Experience with JS stack: node.js.
  • Knowledge of security best practices in web development.
  • Familiarity with monitoring tools and techniques.
  • Strong English communication skills.

Benefits:

  • Opportunity to lead the design and development of web applications with a focus on integrating AI capabilities.
  • Work in a global, fully remote company with a mission-driven team.
  • Mentorship opportunities to help peers develop their craft.
  • Access to cutting-edge technologies and projects in the AI field.
  • Collaboration with a diverse team located in 11 countries around the world.
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