Agentic AI Developer

JPI•Dallas, TX

1d•Onsite

About The Position

JPI has an exciting opportunity for an Agentic AI Developer to join the Applications and Integrations team within the Digital & IT organization in Dallas, TX. As JPI continues to expand and modernize its AI and software development ecosystem, this role will play a key part in advancing our digital strategy and transforming building. You’ll have a unique opportunity to design, deliver, and lead practical agentic systems, AI-driven applications, RPA solutions, integrations, and automations that improve business processes and create meaningful impact across the company. The role has a focus on implementing and continually improving AI security, responsible guardrails, and monitoring practices to support safe and reliable adoption. The Agentic AI Developer will deliver proprietary JPI agents, applications, and system integrations using platforms such as Workato, Oracle Cloud Infrastructure and complementary technologies. This role collaborates closely with technical and non-technical teams to architect and implement high value process improvements throughout the organization.

Requirements

3+ years of professional software development experience.
1+ year of Agentic AI development experience.
1+ year implementing AI security controls, safety guardrails, access boundaries, validation checks, and monitoring practices for AI or agentic systems.
1+ year experience with RAG and Vector Stores/Databases.
1+ years of experience with Python, Node.js and/or React.
1+ years of experience working with cloud platforms or iPaaS tools.
1+ years of experience integrating with REST APIs.
Strong understanding of integration patterns and architecture.
Excellent problem-solving skills and a proactive, collaborative mindset.
Comfortable working in Agile environments.

Nice To Haves

Experience with any of LangGraph, LangGraph, MCP, RPA and Agent Harness
Experience with Workato.
Familiarity with any of Workday, BuildingConnected, Procore, Airtable, Oracle Primavera Cloud, Oracle Cloud Infrastructure, Fabric, Power Platform, and Azure.
Experience with SQL databases
Experience with GitLab

Responsibilities

Design, develop, test, and maintain agentic AI applications, AI-powered automations, and RPA solutions that improve business processes across JPI.
Implement security controls, policy-based guardrails, access controls, and monitoring capabilities to support the secure and responsible operation of AI agents.
Validate AI agent behavior through testing, prompt evaluation, logging, and monitoring to improve reliability, accuracy, and compliance.
Troubleshoot, optimize, and enhance existing AI agents based on operational performance, user feedback, and evolving business requirements.
Collaborate with senior AI developers to implement enterprise AI standards and security best practices.
Develop and support integrations using Workato, Python, Oracle Cloud, REST APIs, and related technologies.
Configure secure connections between enterprise applications and third-party platforms.
Create and maintain technical documentation for integration workflows, APIs, and agent configurations.
Monitor the performance of AI agents and system integrations, identifying opportunities to improve scalability, reliability, security, and overall performance.
Contribute to the development of secure, scalable AI and integration solutions following established architectural standards.
Translate business requirements into technical specifications and development tasks.
Build new functionality and enhance existing applications while following secure coding and AI governance practices.
Participate in testing, validation, and deployment activities to ensure successful production releases.
Participate in Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement.
Collaborate with cross-functional teams to deliver user stories and AI capabilities on schedule.
Participate in peer code reviews and incorporate feedback to improve code quality and maintainability.
Continuously expand knowledge of agentic AI frameworks, AI security, and emerging technologies.
Partner with business stakeholders to understand automation opportunities and translate requirements into AI-enabled solutions.
Support adoption of agentic AI solutions by assisting with user training, documentation, and knowledge sharing.
Work with UI developers, architects, and integration engineers to ensure AI solutions align with enterprise standards.
Promote responsible AI practices by helping implement governance, security, and compliance requirements across AI solutions.
Other duties as assigned.