Applied AI Engineer
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Applied AI EngineerShare
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- Corporate Fare: Google place London, UK ; Madrid, Spain
- Mid: Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
- 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.
- 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.
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
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 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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
Locations
- Corporate Fare: Google place London, UK; Madrid, Spain
- Experience Level: Mid. Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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