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About the role
Key responsibilities & impact- Design and implement GenAI agents, ensuring scalability and governance;
- Advanced proficiency with the Gemini Enterprise platform and tools (ADK, AgentSpace, AgentEngine, crewAI);
- Expertise in LLMs, generative AI frameworks, and low-code workflow/orchestration solutions;
- Define prompt frameworks, fine-tuning strategies, and model evaluation methods;
- Identify automation opportunities, structure use cases and business cases, and validate technical and regulatory feasibility;
- Oversee pilots, define success criteria, and guide evolution to scale;
- Drive technical debt reduction, modularity, and advanced observability practices.
Requirements
What you’ll need- Strong experience as an AI Engineer
- Experience using generative AI tools (frameworks such as ADK, LangChain/LangGraph, crewAI, AgentSpace, AgentEngine, LLMs, low-code workflow and orchestration solutions), and RAG
- Knowledge of APIs, integration, and orchestration
- Experience building agents
- Familiarity with prompt frameworks and task-oriented model refinement/fine-tuning
Benefits
Comp & perks- Diversity and inclusion: we encourage Black people, women, professionals with disabilities, the LGBTQIA+ community, and applicants of all ages to apply for this role.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI EngineeringGenerative AILLMsLow-code workflow solutionsPrompt frameworksModel evaluation methodsAutomationTechnical feasibilityModularityObservability practices
Soft Skills
GovernanceScalabilitySuccess criteria definitionGuidanceTechnical debt reduction
