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Software Engineer, Applied AI

Clay· 100 - Engineering
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Hybrid (New York)$170k - $300kFull-timePosted 2mo ago

About the role

Software Engineer role focused on building reliable, steerable AI agents and the platform that supports them. Collaborative, production-focused work across agent products and the agent platform/infrastructure to improve task completion, reliability, and user value with LLMs and agents.

Responsibilities

  • Design and iterate on agent behavior across real GTM workflows (e.g., sourcing TAM lists, handling ambiguous ICP definitions, reconciling signals from data sources)
  • Map manual, multi-step GTM workflows into agent-driven flows
  • Build and run evals to measure task completion and identify regressions
  • Analyze real production failures and improve robustness
  • Collaborate with product to move agent flows from prototype to GA and define success criteria
  • Build the core agent harness (memory systems, tool infrastructure, retrieval architecture) for other teams
  • Improve agent performance via prompting strategies, tool-use design, and context construction
  • Design guardrails and safety checks for production use
  • Develop cross-surface evals framework for standardized measurement of quality and performance
  • Create feedback loops from production logs to improve prompts, tools, and eval coverage
  • Support teams in forking or variant agents for specific use cases
  • Experience shipping production systems with LLMs or agents (multi-step orchestration, prompting, tool-use, retrieval, extraction, or fine-tuning)
  • Strong backend fundamentals (APIs, databases, distributed systems)
  • Experience with model/agent evaluation (design evals, measure regressions)
  • Systems-and-outcomes mindset focused on user value
  • Bias toward shipping and iterative improvement in evolving best practices

Qualifications

  • Experience building or shipping production systems with LLMs or agents (multi-step orchestration, prompting/tool-use design, retrieval, structured extraction, or fine-tuning)
  • Strong backend fundamentals in APIs, databases, distributed systems
  • Experience with model or agent evaluation (designing evals, measuring regressions, turning qualitative signals into measurable metrics)
  • Systems-and-outcomes mindset, user-focused
  • Bias toward shipping and rapid iteration in evolving field

Skills

Required:Experience with LLMs or agentsBackend development

Benefits

  • N/A
Last updated Sep 16, 2026. Interested? Apply on the company site.
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We build software to allow anyone, anywhere to create in 3D together. We believe that collaborating in 3D should feel magical and we're working to make it happen.

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