AI Engineer - NY

Scope•New York, NY
•$150,000 - $200,000•Onsite

About The Position

Scope Labs is hiring an AI Engineer to work directly with startup customers, designing and shipping AI systems that power their products. The role combines applied machine learning, systems thinking, and customer partnership. The engineer will turn ambiguous problems into working prototypes and production solutions, work in customers’ production environments, and collaborate with engineering leads to develop AI workflows. The role requires autonomy, sound judgment in ambiguous situations, and accountability for customer outcomes. It is an in-person position based in New York City; candidates must live in or be willing to relocate to the area.

Requirements

  • At least 3 years building and shipping ML/AI systems in production, or equivalent applied AI experience as an ML Engineer, AI Engineer, or Software Engineer.
  • Strong proficiency in Python and/or TypeScript.
  • Hands-on experience building and deploying LLM-based applications, agents, or AI pipelines.
  • Familiarity with modern AI technologies and practices, including model APIs, RAG, fine-tuning, evaluations, and orchestration frameworks.
  • High agency and comfort operating in ambiguous environments with limited direction.
  • Strong communication skills with both senior engineers and non-technical founders.
  • Team-first attitude and ability to manage multiple customer engagements simultaneously.
  • Must reside in or be willing to relocate to the New York, NY area.
  • Include the word “lighthouse” as the first word of the cover letter or application answer.

Nice To Haves

  • Former technical founder experience.
  • Experience in a customer-facing or client-embedded role, such as Forward Deployed Engineer, Solutions Engineer, or consulting.
  • Experience with AI agent frameworks, MCP servers, or autonomous coding tools in production.
  • Background in a startup or enterprise vertical such as fintech, developer tools, or healthcare.
  • Direct UX/UI experience or strong product sense.
  • A portfolio of passion projects or initiatives built or substantially contributed to.

Responsibilities

  • Own the technical customer lifecycle, from initial deployment through activation and ongoing utilization, ensuring customers realize value.
  • Work with startup engineering teams to understand workflows, identify high-impact AI use cases, and ship integrations.
  • Bring customer patterns, friction points, and product insights to Product and Engineering teams to help shape the roadmap.
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