Applied AI Engineer

Google Inc.

City of Westminster

On-site

GBP 77,000 - 79,000

Full time

4 days ago

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Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google Cloud is seeking an experienced AI/GenAI engineer to advance production-grade AI systems. You will build evaluation pipelines, design robust CUJs, and optimize agentic workloads for latency and security. This role emphasizes cross-functional collaboration across engineering and product teams.

Applicants should have a strong Python background, cloud experience with GCP, and expertise in multilingual NLP models. Occasional travel and a competitive equity package are included.

Qualifications

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of software development with Python or similar languages.
Experience delivering production-grade AI solutions on cloud platforms (GCP).
Experience developing AI/GenAI solutions and multilingual NLP models.

Responsibilities

Build high-performance evaluation pipelines and observability for AI systems.
Deliver Customer User Journeys with optimized conversational flows.
Architect and optimize agentic workloads focusing on reasoning and latency.
Implement rate limiting, error management, and regional failover with monitoring.

Skills

Python

AI/GenAI solutions

Cloud platforms (GCP)

Multilingual NLP models

Agent debugging (ReAct/logics)

Education

Bachelor’s degree or equivalent practical experience

Tools

GCP tools

Job description

Google London, UK ; Madrid, Spain

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Madrid, Spain.

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
Experience developing and deploying multilingual natural language processing models.

Preferred qualifications:

Experience in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection.
Experience with troubleshooting live, high-traffic systems during critical windows.
Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
Ability to trace conversation IDs across microservices to identify and resolve failures in real-time.
Ability to travel up to 50% as require.

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Own the delivery of the Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized and production ready for (top customer/industry priorities).
Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
Implement critical infrastructure including rate limiting, error managing, and regional failover strategies; develop monitor systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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