Role overview

Software Engineer, AI Agents

Requirements and responsibilities

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About the Role

  • Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
  • Making key decisions about the choice of AI architecture and frameworks
  • Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts
  • Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

Interview Process

  • Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
  • System Design Screen [60m]: Designing a data processing feature end-to-end.
  • Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
  • Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
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