Applied AI Engineer

WeAreTechWomen; Greater London; On-site; GBP 77,000 - 79,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Google Cloud accelerates every organization’s ability to digitally transform its business with enterprise-grade AI capabilities and scalable cloud tools. This role contributes to building high-performance evaluation pipelines and production-ready conversational systems for top customers globally. Spain: €90,000–€92,000 per year with a 15% target bonus, equity and benefits.

Travel up to 50% is required. The team focuses on responsible AI, latency optimization, and robust security across

Qualifications

• Bachelor’s degree in engineering, CS or related field, or equivalent practical experience.
• At least 6 years of software development experience with Python or similar languages.
• Experience turning AI-driven solutions into production, on cloud platforms like GCP.
• Experience developing multilingual NLP models and GenAI solutions.

Responsibilities

• Build high-performance evaluation (Eval) pipelines and observability frameworks for accuracy, safety, and latency.
• Own the delivery of the Customer User Journeys (CUJs), ensuring conversational flows are functional, optimized and production-ready.
• Architect and optimize complex agentic workloads focusing on reasoning loops, tool selection, and latency.
• Implement critical infrastructure including rate limiting, error management, and regional failover; develop monitoring dashboards during Go-Live to ensure stability.
• Travel up to 50% of the time.

Skills

Python programming

AI/GenAI development

Cloud platforms (GCP)

Multilingual NLP models

Education

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience

Tools

GCP

AI tooling

Job description

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

Minimum qualifications:

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

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Spain: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• 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.
• Travel up to 50% of the time.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.