AI Engineer

📋 Description

• Design & Build with Google ADK: Design, develop, test, and deploy autonomous and
• Vertex AI Implementation: Leverage Vertex AI capabilities including model training, fine-tuning
• End-to-End Development: Own the end-to-end technical lifecycle of AI projects on Google Cloud
• Google Cloud Integration: Build integrations between AI agents and Google Cloud services including
• Cross-Functional Collaboration: Partner with business stakeholders to understand requirements and
• Responsible AI Implementation: Implement, test, and monitor safeguards for AI agents using Vertex

🎯 Requirements

• Proven experience (3-5+ years) in software engineering, data science, or AI/ML solution delivery
• Hands-on experience with Google Vertex AI, including model deployment, endpoint management, and AI
• Strong knowledge of AI/ML fundamentals, agentic AI patterns (e.g., ReAct, planning, tool use
• Proficiency in Python and Google Cloud AI/ML libraries including Google ADK, Vertex AI SDK, and
• Experience with Google Cloud Platform services (Vertex AI, BigQuery, Cloud Functions, Cloud Run
• Demonstrated success in building and deploying AI/ML models and solutions into production on cloud

🎁 Benefits

• Two global wellness days off per year
• Paid day off for your birthday
• 40 hours of paid volunteer time off annually
• Access to Employee Assistance Program (EAP) with counseling and resources
• Business travel protection with Zurich Travel Assist
• Referral bonus program for successful referrals