Mid-Level AI Engineer

Job Summary

To design and build intelligent applications on Google Cloud Platform, the full-time Mid-Level AI Engineer will architect AI-enabled systems using the Google Agentic Development Kit, Gemini, and Vertex AI, while collaborating with cross-functional teams in a remote work environment.

Key Responsibilities

• Architect and implement AI-enabled application systems on GCP, focusing on agentic workflows
• Design human-in-the-loop agentic systems, defining roles, tool use, and orchestration patterns
• Integrate AI/ML capabilities into enterprise Java and Python applications via APIs and microservices

Required Qualifications

• 5-8 years of software or application engineering experience with a focus on AI-integrated application design
• Hands-on experience with Google ADK or comparable agentic frameworks
• Proficiency in Python for AI/ML integration; Java experience is a plus
• Experience integrating LLM APIs into production application workflows
• Solid understanding of agentic design patterns and GCP services