AI Summary
Design, build, and deploy intelligent synthetic agents for self-service experiences, agent assist tools, and operational insights in financial services environments. Required skills include Python or Java, Dialogflow CX, and Google Cloud Platform. Collaborate with cross-functional teams to deliver high-quality conversational experiences.
Key Highlights
Design and deploy conversational agents
Develop and maintain backend services and RESTful APIs
Implement prompt engineering strategies
Technical Skills Required
Benefits & Perks
Competitive compensation
Flexible work arrangements
Strong growth opportunities
Visa sponsorship available
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.
Beware of scams. S3 never asks for money during its onboarding process.
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
- 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
- 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
- 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
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