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X 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.
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.
About the jobIt'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.
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 (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.
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 .
