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AI Engineer, GCP
Minor Hotels Europe and AmericasAgentic AI Developer responsible for designing and implementing intelligent autonomous systems. Building AI agents integrated with enterprise systems using GCP at Capgemini.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing intelligent autonomous systems, with a strong focus on AI agents and their integration into enterprise systems using GCP. Proficient in Python and knowledgeable in LLMs, Prompt Engineering, and Responsible AI practices.
Highest-signal resume keywords
Agentic AI ExperiencePython ProficiencyGCP ExperienceEnterprise API Integration SkillsFamiliarity with Agent Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAgentic AILLMsPrompt EngineeringEnterprise API Integration
Tools & Technologies
GCPVertex AICloud RunWorkflowsLangChainLangGraphCrewAI
Industry Keywords
Responsible AIEvaluation
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Design and implement intelligent, autonomous systems
- Build AI agents integrated with enterprise systems using GCP
Requirements
What you’ll need- Experience in Agentic AI and AI agents
- Proficiency in Python
- Knowledge of LLMs & Prompt Engineering
- Experience with GCP (Vertex AI, Cloud Run, Workflows)
- Familiarity with Agent Frameworks (LangChain/LangGraph/CrewAI)
- Skills in Enterprise API Integration
- Understanding of Responsible AI & Evaluation
Benefits
Comp & perks- Flexible work arrangements
- Career growth programs
- Valuable certifications in latest technologies