Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
San Jose, CA, United States
Posted
Yesterday
MicroservicesGoogle CloudPythonReactTerraform
Job Description
Job Title: Lead Applied AI Developer / Forward Deployed Engineer
Location: San Jose, CA
Duration: 6+ Months Contract
Travel: Up to 50%
Job Description:
We are seeking experienced Lead Applied AI Developers / Forward Deployed Engineers to design, develop, and deploy enterprise Conversational AI and Agentic AI solutions using Google Cloud technologies.
The ideal candidate will have strong hands-on experience with Google Gemini, Conversational AI, CCAI, Dialogflow CX, Google Cloud Platform, and Python, along with experience taking AI solutions from prototype to production.
Responsibilities:
- Design, develop, and deploy enterprise Conversational AI and Agentic AI solutions
- Utilize Google Gemini, CCAI, and Dialogflow/Dialogflow CX
- Work with Google Cloud Platform (Google Cloud Platform) to implement AI solutions
- Develop AI agents and multi-agent workflows
- Implement ReAct, self-reflection, and agentic architectures
- Build and maintain enterprise knowledge bases
- Integrate APIs and microservices
- Utilize Terraform for Infrastructure as Code
- Evaluate, trace, monitor, and ensure observability of AI applications
- Deploy AI applications into production
- Troubleshoot and debug AI solutions as needed
- Communicate effectively with customers and stakeholders
- Travel up to 50% as required
Requirements:
- Strong experience with Conversational AI and Agentic AI
- Hands-on experience with Google Gemini, CCAI, and Dialogflow/Dialogflow CX
- Strong Google Cloud Platform (Google Cloud Platform) experience
- 5+ years of professional Python development
- Experience building AI agents and multi-agent workflows
- Knowledge of ReAct, self-reflection, and agentic architectures
- Experience with RAG and enterprise knowledge bases
- API and microservices integration
- Terraform / Infrastructure as Code
- AI evaluation, tracing, monitoring, and observability
- Experience deploying AI applications into production
- Strong troubleshooting and debugging skills
- Excellent communication and customer-facing skills
- Willingness to travel up to 50%
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