Startup AI Deployment Engineer

Urban Ridge Supplies; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Scope Labs in New York City is seeking an in-person Forward Deployed Engineer to embed with startup customers, owning the full technical relationship from day one and delivering meaningful AI-enabled solutions.

You will deploy cutting-edge AI tooling, ship integrations, and collaborate with Product and Engineering to shape roadmaps, while operating with autonomy and strong judgment in ambiguous environments.

Qualifications

• 3+ years in a technical, customer-facing role such as Forward Deployed Engineer, Solutions Engineer, or Software Engineer with consulting or startup experience.
• Strong proficiency in Python and/or TypeScript with a track record of shipping production software.
• Hands-on experience deploying or integrating AI tooling, including LLMs, AI agents, or AI-native developer tools, into real workflows.

Responsibilities

• You'll own the full technical customer lifecycle. From initial deployment through activation and ongoing utilization, you are the person who makes sure our customers are actually getting value, not just access.
• You'll identify and champion high-impact use cases. You'll work closely with startup engineering teams to understand their workflows, identify where AI can meaningfully accelerate them, and get those integrations shipped.
• You'll be the voice of the customer internally. You'll bring patterns, friction points, and product insights back to our Product and Engineering teams, helping shape the roadmap based on what you're seeing in the field.

Skills

Python

TypeScript

AI tooling deployment

Customer-facing role

Communication skills

Team collaboration

Tools

LLMs

AI agents

Job description

Scope Labs in New York City is seeking an in-person Forward Deployed Engineer to embed with startup customers, owning the full technical relationship from day one and delivering meaningful AI-enabled solutions.

You will deploy cutting-edge AI tooling, ship integrations, and collaborate with Product and Engineering to shape roadmaps, while operating with autonomy and strong judgment in ambiguous environments.