Conversational Agent Developer (Python or Java)

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Job Title: Conversational Agent Developer (Python or Java)
Must be local to: CHANDLER, AZ 85286
Contract Length: 24+ Months

Job ref# 244666

Overview

We are seeking a Conversational Agent Developer to design, build, and deploy intelligent synthetic agents that power self-service experiences, agent assist tools, and operational insights for financial services environments. This role sits at the intersection of Generative AI, cloud-native engineering, and conversational UX, working closely with product, data, and platform teams to deliver scalable, production-grade virtual agents.

Key Responsibilities

• Design, develop, and deploy synthetic conversational agents for customer self-service, internal agent assistance, and operational intelligence use cases
• Build and maintain backend services and RESTful APIs to support conversational workflows and integrations
• Develop and optimize conversational flows using Dialogflow CX and ES
• Implement prompt engineering strategies to improve LLM response quality, accuracy, and reliability
• Leverage Agent Development Kit (ADK) to build, orchestrate, and manage agent behavior
• Integrate and manage APIs using Apigee for secure, scalable API lifecycle management
• Deploy and operate solutions on Google Cloud Platform (Google Cloud Platform)
• Create and monitor Splunk dashboards for observability, performance monitoring, and troubleshooting
• Collaborate with cross-functional teams (product, UX, compliance, engineering) to deliver high-quality conversational experiences
• Ensure solutions meet enterprise security, compliance, and reliability standards, particularly in regulated environments

Required Qualifications

• Strong programming experience in Python or Java
• Experience building RESTful APIs and microservices-based architectures
• Hands-on experience with Dialogflow CX and/or Dialogflow ES
• Experience working in Google Cloud Platform (Google Cloud Platform) environments
• Proven prompt engineering experience for LLM-driven conversational systems
• Hands-on experience with Agent Development Kit (ADK)
• Experience with API management platforms, preferably Apigee
• Experience creating and using Splunk dashboards for monitoring and analytics
• Ability to work in a fast-paced, collaborative environment

Preferred / Nice-to-Have Qualifications

• Experience in financial services, banking, or fintech environments
• Familiarity with Large Language Models (LLMs) and Generative AI applications
• Understanding of conversational UX principles and user-centered design
• Experience deploying AI systems in regulated or compliance-driven environments

Why This Role

• Work on mission-critical AI solutions for top-tier financial institutions
• Build real-world Generative AI powered conversational systems at scale
• Collaborate with an innovative, forward-thinking team
• Competitive compensation, flexible work arrangements, and strong growth opportunities