Java Python Agentic AI Developer

Kforce has a client in Columbus, OH that is seeking a Java Python Agentic AI Developer who will design and build critical technology solutions across Chase AI components, including Company Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. Job Responsibilities:

• Executes software solutions, design, development, & technical troubleshooting, thinking beyond routine approaches to solve complex problems
• Creates secure, high-quality production code & maintain algorithms that run synchronously with appropriate systems
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture
• Adopts and learn new technologies that positively impact agentic solutions
• Collaborates with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions
• Ensures compliance with security, privacy, and regulatory requirements in all software solutions
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Strong proficiency in Python and Java, with hands-on experience developing and supporting production-grade applications
• Demonstrated experience building, deploying, and maintaining Agentic AI solutions in enterprise environments
• Experience designing and orchestrating multi-agent workflows, tool integrations, and autonomous decision-making frameworks
• Ability to develop, test, and optimize AI-driven applications that leverage large language models, agent frameworks, and retrieval capabilities
• Strong understanding of API development, microservices architectures, and integration patterns within modern software ecosystems
• Experience troubleshooting, monitoring, and supporting AI-enabled applications in production environments
• Familiarity with responsible AI practices, model governance, security considerations, and enterprise development standards

Hands-on experience with the following technologies:

• Python
• Java
• LangGraph
• vLLM