Java Python AgenticAI Developer

Kforce has a client that is seeking a Java Python AgenticAI Developer in Wilmington, DE. Summary: As an AgenticAI Software Engineer, you will design and build critical technology solutions across Company AI components, including Company Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. Responsibilities:

• Executes software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems
• Creates secure, high-quality production code and 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

• Python
• Java
• LangGraph
• vLLM
• 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