AI Agent Developer

Propertyvalue Quantum Technologies Llc
Austin, TX, United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$166,400.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Agile Methodology Automation of Tests Microsoft Azure Bioinformatics Continuous Delivery Continuous Integration Database Queries DevOps Python (Programming Language)
+19 more
Node.Js Performance Tuning DataOps Scaled Agile Framework TypeScript Freeform SQL Google Cloud Enterprise Software Applications Chatbots Delivery Pipeline Large Language Models Multi-Cloud Backend Enterprise Integration Virtual Agents Restful APIs Webhooks Servicenow Microservices

Job description

We are seeking a seasoned, hands-on Senior AI Agent Developer on a contract basis to lead the design, development, testing, and deployment of enterprise-grade conversational AI agents and intelligent workflow automations. In this role, you will be instrumental in architecting Conversational AI solutions natively within Google Cloud Platform (specifically leveraging GECX / Dialogflow CX), orchestrating multi-cloud integrations across Azure and ServiceNow, establishing automated CI/CD deployment pipelines in Azure DevOps, and validating systems through automated test frameworks., Agent Architecture & Implementation: Design, build, train, and test conversational flows, intents, custom route groups, and LLM-powered tools within Google Cloud Platform using GECX / Dialogflow CX. Full-Stack & Backend Integration: Develop robust RESTful APIs, webhooks, and microservices in .NET, Python, or Node.js to integrate conversational agents with ServiceNow and Azure enterprise systems. DevOps & Pipeline Automation: Build, maintain, and enhance automated CI/CD pipelines in Azure DevOps for environment provisioning, validation, and continuous deployment of agent configurations and fulfillment services. Automated Quality Engineering: Implement automated test suites covering unit logic, webhook APIs, dialog flow regressions, and end-to-end conversational journeys. Data Querying & Performance Tuning: Write and optimize complex SQL queries for conversational analytics, reporting, and backend data operations. Agile Execution: Actively participate in SAFe Agile ceremonies, including Program Increment (PI) planning, sprint execution, backlog refinement, and cross-team dependency mapping.

Requirements

The ideal candidate brings strong polyglot development capability across .NET, Python (must have), TypeScript, and JavaScript, deep multi-cloud experience, and a proven track record delivering within a Scaled Agile Framework (SAFe) environment., Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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