🛠 Tech Stack

💼 About This Role

You'll act as a bridge between Business Units, clients, and Core Engineering, translating client needs into scalable AI solutions within the Google AI ecosystem. You'll rapidly prototype and test new workflows, then collaborate with Core Engineering to productionize them.

🎯 What You'll Do

• Act as liaison between Business Units, clients, and Core Engineering
• Collaborate with teams to refine prompts and optimize AI experiences
• Configure and maintain new AI agents using Google frameworks
• Collect feedback into structured feature requests for Core Engineering

📋 Requirements

• Strong understanding of Google AI ecosystem (Vertex AI, Gemini)
• Experience with prompt engineering and AI agent configuration
• Familiarity with API integrations and cloud-based architectures
• Proven ability to prototype using Python or no/low-code platforms

✨ Nice to Have

• Background in applied AI or implementation engineering
• Hands-on exposure to LLM orchestration frameworks
• Passion for experimentation and a 'builder' mindset

🎁 Benefits & Perks

• 🏖️ Generous PTO
• ⏰ 15 company-wide holidays
• 💼 401k with company contribution
• 👶 Paid parental leave
• 🏥 Excellent medical, dental, vision insurance

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min

🚩 Heads Up

• Return to Office policy requires working from office set days if within commutable distance