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# SW Developer Engineer/Technical Lead - AI

- **Company:** Kforce Inc.
- **Location:** Juno Beach, FL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Automation of Tests, Code Review, Cloud Services, Secure Coding, Software Engineering, Devsecops
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/dd8ac0e7-c3f5-4602-92cb-dace4d5094eb

## About the Role

* To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
 * Relevant education and/or training will be considered a plus

## Description

Kforce has a client in Juno Beach, FL that is seeking a Senior SW Developer Engineer/Technical Lead - (AI Focus) to help us lead teams that build new applications and modernize existing ones for our clients. This role is both hands-on and leadership oriented., * Lead a team of developers through new application builds and modernization programs while remaining actively involved in design, coding, review, testing, and troubleshooting

 * Set technical direction for projects, including architecture, integration patterns, modernization strategy, engineering standards, delivery approach, and technical risk management
 * Use AI-assisted development tools to accelerate code comprehension, generation, refactoring, testing, documentation, and migration planning while ensuring that outputs are validated by experienced engineering judgment
 * Architect and build fit-for-purpose agents and agentic workflows using frameworks such as LangGraph, A2A, MCP-enabled tools, or comparable technologies
 * Guide modernization of existing applications by analyzing legacy code, identifying business logic, assessing constraints, defining target architecture, and creating incremental transformation roadmaps
 * Make pragmatic architecture decisions across APIs, data models, cloud services, security, observability, integration, DevSecOps, and user experience considerations
 * Mentor developers in software engineering practices, AI-assisted delivery techniques, secure coding, automated testing, maintainable design, and effective code review
 * Collaborate with architects, product owners, business stakeholders, client technical teams, and delivery leaders to translate business needs into executable technical plans
 * Identify and manage risks in AI-generated software, including brittle code, hidden assumptions, weak tests, security issues, licensing concerns, maintainability gaps, and architecture drift


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