Haystack
← Back to Jobs
Technology
SJ

Lead AI Developer / Forward Deployed Engineer

Select Jarvis.comSan Jose, CA🇺🇸United StatesPosted 10 Sept 2026

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%

Similar jobs