Forward Deployed Engineer, GenAI, YouTube GTM Operations

Workman Labs; New York (NY); On-site; USD 128,000 - 185,000; Full time

Job summary

Workman Labs in New York, NY seeks a Forward Deployed Engineer specializing in GenAI for YouTube GTM Operations. You will build and deploy production-grade GenAI solutions (LLMs, RAG, agentic frameworks) to redesign business workflows with applied AI.

This engineer-consultant hybrid role involves moving from rapid prototypes to scalable production systems, authoring design docs, and delivering end-to-end AI projects.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical software development experience.
• 4 years of full-stack software development and system design experience.
• Back-end language experience (Python, C++, Java, or Go) plus applied AI solutions/agentic workflow building.
• Database technology experience (SQL, NoSQL) with back-end data pipeline design and distributed systems knowledge.

Responsibilities

• Build proof-of-concepts using frontier GenAI (LLMs, RAG, agentic frameworks) to demonstrate feasibility and translate business problems into software solutions.
• Serve as engineering point-of-contact for delivering complex AI applications from rapid prototypes to production-grade solutions.
• Author technical design documents, write testable code, build front-end interfaces, and execute delivery from scoping through deployment.
• Build evaluation pipelines and observability frameworks ensuring agentic systems meet requirements for accuracy, safety, compliance, and latency.
• Identify and resolve technical barriers preventing AI maturity, including data readiness gaps and system integration complexities.

Skills

Full-stack development

System design

AI concepts

Front-end integration

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent

Tools

Python

C++

Java

Go

SQL

NoSQL

Cloud

Containers

Microservices

Job description

Forward Deployed Engineer, GenAI, YouTube GTM Operations

Engineer-consultant hybrid on YouTube's go-to-market operations team, building and deploying production-grade GenAI solutions (LLMs, RAG, agentic frameworks) to redesign business workflows with applied AI.

$128,000 – $185,000 / yr

Location

New York, NY

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Seniority

Mid

Compared with 41 other Engineering roles: Common across similar roles Unique to this role

Responsibilities

• Build proof-of-concepts using frontier GenAI (LLMs, RAG, agentic frameworks) to demonstrate feasibility and translate business problems into software solutions Common
• Serve as engineering point-of-contact for delivering complex AI applications from rapid prototypes to production-grade solutions
• Author technical design documents, write testable code, build front-end interfaces, and execute delivery from scoping through deployment Common
• Build evaluation pipelines and observability frameworks ensuring agentic systems meet requirements for accuracy, safety, compliance, and latency Common
• Identify and resolve technical barriers preventing AI maturity, including data readiness gaps and system integration complexities

Experience

• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical software development experience Common
• 4 years full-stack software development and system design experience
• Back-end language experience (Python, C++, Java, or Go) plus applied AI solutions/agentic workflow building Common
• Database technology experience (SQL, NoSQL) with back-end data pipeline design and distributed systems knowledge Common
• Preferred: cloud/containerized/microservice architecture; multi-step LLM, multi-agent, or MCP applications
• Preferred: vector databases and AI data-readiness; SRE/InfoSec/DevOps experience
• Preferred: GTM operations, enterprise sales workflows, or CRM/CMS integrations; consulting or zero-to-one background