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Job Overview

Direct coding agents to build, refactor, and test; use AI to think more sharply in front of customers; and apply it as part of everyday engineering practice rather than as a side tool. Prior work as a forward deployed engineer, solution engineer, or in professional services, delivering software inside a customer's environment.

Key points

  1. The AI Application Software Engineer designs, builds, ships, and operates applications whose core behavior is model-driven rather than explicitly authored — conversational and agentic…

  2. In Field Service Management, this means building AI-native experiences for scheduling, dispatch, and service workflows that automate routine work, escalate exceptions…

  3. This is not a machine learning or AI research role; you will not train foundation models.

  4. You own what ships, whether a human or an agent produced it.

  5. A demonstrated track record of building, shipping, and operating production software, including hands-on delivery of AI-native application features that real users depend on rather…

  6. Direct experience authoring agentic instructions and prompts, designing AI-driven workflows, and building evaluation and testing for non-deterministic behavior is required.

  7. Experience with chat experiences is required; voice or multi-channel experience is strongly preferred.

  8. Willingness to work directly with customers in a forward deployed capacity is required; prior forward deployed experience is an advantage.

Skills

JavaScriptJavaHTMLCSSMachine LearningLLMsPrompt Engineering

Experience: Senior-level · 5+ years · Job type: Full-time

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