Senior GenAI Deployment Engineer, GCP (London)

Google LLC; Greater London; Vor Ort; GBP 90.000 - 150.000; Vollzeit

Zusammenfassung

Google LLC in London is seeking software engineers with strong ML infra and GenAI experience to design, deploy, and optimize AI-powered solutions for customers. The role emphasizes collaboration with customers, rapid prototyping, and contribution to core product codebases.

The ideal candidate has 5+ years in software development or 1 year with an advanced degree, plus hands-on ML infrastructure exposure and GenAI knowledge. In-person interviews are common during hiring.

Qualifikationen

• Bachelor's degree or equivalent practical experience required.
• 5 years of software development experience or 1 year with an advanced degree.
• 1 year of experience with ML infrastructure or related ML fields.
• Experience with GenAI concepts and AI generation.

Aufgaben

• Partner with customers to understand business issues and design, co-develop, debug, and deploy custom conversational AI agents.
• Act as a high-level problem solver, write bespoke code, and contribute to core product codebase to resolve critical issues.
• Systematize learnings from customer engagements by creating reusable tools and accelerators.
• Provide feedback to Product/Engineering to influence strategy and identify gaps.
• Advise customers on agent improvement, CI/CD pipelines, and production readiness.

Kenntnisse

Software development

ML infrastructure

GenAI concepts

AI tooling

Ausbildung

Bachelor's degree or equivalent practical experience

Master's or PhD (preferred)

Tools

Vertex AI

BigQuery

Dialogflow

Jobbeschreibung

Google LLC in London is seeking software engineers with strong ML infra and GenAI experience to design, deploy, and optimize AI-powered solutions for customers. The role emphasizes collaboration with customers, rapid prototyping, and contribution to core product codebases.

The ideal candidate has 5+ years in software development or 1 year with an advanced degree, plus hands-on ML infrastructure exposure and GenAI knowledge. In-person interviews are common during hiring.