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Alloy

Applied AI Engineer, Ops

New York City$150k–$180kmidAdded 1 month ago

About this role

Alloy seeks an Applied AI Engineer to drive AI and automation initiatives across the organization from within the centralized Ops team. You'll identify high-impact opportunities, build and deploy AI solutions, and enable teams to adopt AI practices, serving as a bridge between cutting-edge capabilities and business needs.

What you'll do

  • Identify and prioritize automation and AI opportunities aligned with strategic business goals
  • Design, build, and deploy AI solutions ranging from simple automations to LLM-based workflows
  • Partner with cross-functional teams to understand pain points and translate them into technical solutions
  • Establish best practices, standards, and frameworks for building and evaluating AI solutions
  • Run enablement sessions and build internal tools to help teams adopt AI independently
  • Measure impact and continuously iterate on internal AI tooling and processes

What they're looking for

  • Production experience with LLMs and AI APIs (OpenAI, Anthropic, etc.)
  • Python or similar programming language
  • Workflow automation tools (Zapier, Make, n8n, or custom pipelines)
  • Clear communication with both technical and non-technical stakeholders
  • SQL and data tooling experience
  • Business acumen focused on ROI and impact
  • Comfort with ambiguity and bias toward shipping
  • Startup environment experience

Benefits

  • Hybrid work arrangement with 3 days onsite per week in NYC
  • Competitive base salary with equity awards (stock options)
  • Named Inc. Magazine Best Workplace and Forbes Best Startup Employer
  • High autonomy with direct business impact and roadmap ownership
  • Cross-functional exposure across entire organization
  • Opportunity to define and scale role as company grows
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Alloy

Alloy builds enterprise software solutions that require deep technical integration with customers. The company is hiring founding engineers for forward-deployed customer roles and AI-focused engineers to drive automation and AI adoption across the organization.

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Likely interview questions

  • Walk us through a production LLM application you've built—what was the use case, which API did you use, and what challenges did you encounter around cost, latency, or quality?
  • Describe a time you identified an inefficiency in a business process and built an automation solution for it. How did you measure its impact?
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