Forward Deployed Engineer, GenAI, YouTube GTM Operations

Workman Labs

New York (NY)

Vor Ort

USD 128.000 - 185.000

Vollzeit

14 Tage+

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Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

Full-stack development
System design
AI concepts
Front-end integration

Ausbildung

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

Tools

Python
C++
Java
Go
SQL
NoSQL
Cloud
Containers
Microservices

Jobbeschreibung

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

—

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
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