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Job Overview

Working knowledge of APIs, data systems, SQL, and scripting or prototyping with Python, JavaScript, or similar technologies. Experience using Generative AI to build internal tools or customer-facing workflows.

Key points

  1. Work with agent-platform and MCP teams to improve conversation quality, user context, tool selection, and failure recovery.

  2. Diagnose and improve latency across model inference, speech processing, tool calls, and downstream APIs.

  3. Define instrumentation, evaluation frameworks, latency budgets, and release-readiness checks for AI agents.

  4. Work on user profiling and personalisation so agents can use relevant customer or partner context while respecting privacy and access controls.

  5. Experience in product execution, MarTech, growth technology, CRM, applied AI, or consumer internet products.

  6. Strong ability to break down ambiguous business or user problems and convert them into a clear execution plan.

  7. Understanding of LLM-based agents, tool calling, conversation state, user context, evaluations, and latency trade-offs.

  8. Experience writing PRDs and working closely with Engineering teams on delivery.

Skills

PrototypingSQLCampaign ManagementPythonJavaScriptMachine LearningLLMsGenerative AI

Experience: Mid-level · Job type: Full-time

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