Google

Runs Search and YouTube and builds Gemini AI

Forward Deployed Engineer - GenAI, YouTube Go-To-Market Technology and Insights

AI Application Engineering +1Posted on Nov 13

Full-time

About the Job

Requirements

A bachelor's degree in Computer Science, Electrical Engineering, Math, or a related quantitative field, or equivalent practical experience in software development.
Four years of experience in full-stack software development and system design.
Experience with front-end languages such as JavaScript or TypeScript.
Experience with back-end languages such as Java, Python, or C++.
Experience working with database technologies such as SQL or NoSQL.
Experience with full-stack development, API design, and systems engineering.

Responsibilities

Partner with stakeholders to co-create tool roadmaps, translating ambiguous business problems into tangible software solutions that enable YouTube's operations.
Iterate GenAI proof-of-concepts, including large language models, retrieval-augmented generation, and agentic frameworks, into production-grade AI applications such as multi-agent systems and MCP servers that drive measurable ROI.
Execute the full software development lifecycle by authoring technical design documents, shipping maintainable code, building intuitive front-end surfaces, and managing deployment.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, compliance, and latency requirements.
Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge-case management, and state-management issues.

Desired Qualifications

Four years of experience with cloud or microservice architectures, building large language model applications, multi-agent systems, or GenAI frameworks such as MCP.
Four years of experience optimizing databases, alongside vector databases, embedding generation, search architectures, and AI data-readiness issues.
Two years of experience collaborating on requirements and bringing domain knowledge of go-to-market operations, enterprise sales workflows, or CRM/CMS integrations.
Two years of experience in site reliability engineering, information security, or DevOps, plus a background in large language model evaluations, observability frameworks, and AI guardrails.
Experience in tech consulting or entrepreneurial environments, delivering zero-to-one initiatives and building scalable products from the ground up.

Partner with stakeholders to co-create tool roadmaps, translating ambiguous business problems into tangible software solutions that enable YouTube's operations.
Iterate GenAI proof-of-concepts (LLMs, RAG, agentic frameworks) into production-grade AI applications (multi-agent systems, MCP servers) that drive measurable ROI.
Execute the full software development lifecycle: author technical design documents, ship maintainable code, build intuitive frontend surfaces, and manage deployment.
Build high-performance evaluation (eval) pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, compliance, and latency requirements.
Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge-case managing, and state-management issues.

Minimum qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development.
4 years of experience in full-stack software development and system design.
Experience with front end languages (e.g., JavaScript or TypeScript).
Experience with backend languages (e.g., Java, Python, or C++).
Experience working with database technologies (e.g., SQL, NoSQL).
Experience with full-stack development, API design, and systems engineering.

Preferred qualifications:

4 years of experience with cloud/microservice architectures, building LLM applications, multi-agent systems, or GenAI frameworks (e.g., MCP).
4 years of experience optimizing databases, alongside vector databases, embedding generation, search architectures, and AI data-readiness issues.
2 years of experience collaborating on requirements, bringing domain knowledge of GTM operations, enterprise sales workflows, or CRM/CMS integrations.
2 years of experience in SRE, InfoSec, or DevOps, plus background in LLM evals, observability frameworks, and AI guardrails.
Experience in tech consulting or entrepreneurial environments, delivering zero-to-one initiatives and building scalable products from the ground up.

It's an exciting time to join the AI Accelerator team, a newly formed task force dedicated to driving AI transformation for YouTube Business Go-To-Market (GTM) operations. Our mission is to operate as a high-velocity, horizontal transformation engine at the intersection of consulting, product strategy, applied AI, and systems engineering—redesigning legacy workflows from scratch to drive direct business impact for YouTube.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $128000 - $184000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA.

Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development.
4 years of experience in full-stack software development and system design.
Experience with front end languages (e.g., JavaScript or TypeScript).
Experience with backend languages (e.g., Java, Python, or C++).
Experience working with database technologies (e.g., SQL, NoSQL).
Experience with full-stack development, API design, and systems engineering.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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