> Markdown version of [/jobs/ext/3781534-forward-deployed-engineer-ai-applications](https://www.wearedevelopers.com/jobs/ext/3781534-forward-deployed-engineer-ai-applications). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer (AI Applications) - **Company:** Kforce Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Java (Programming Language), .NET Framework, Agile Methodology, Artificial Intelligence, Automation of Tests, C Sharp (Programming Language), Code Coverage, Continuous Integration, Software Engineering, TypeScript, Large Language Models, Claude Code, Spring-boot, Agentic-AI, AngularJS, Information Technology, Build Tools, NestJS, Restful APIs - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/a8af8d3c-9d38-44c9-aa9b-1244690e82ad ## About the Role * Master's degree in Computer Science from a top-100 US program, as ranked by * 6+ years of professional software engineering on production applications * Production experience in Java/Spring Boot or .NET (C#) * Production experience in TypeScript with Angular or NestJS * CSRankings * Designing and building REST APIs, and delivering cloud-native applications (containers, CI/CD, observability) * Uses Claude Code or Codex or other coding harnesses daily to build production software * Has led requirements sessions and demos directly with business stakeholders * Excellent verbal and written communication skills; Should be able to explain technical trade-offs to non-technical business leaders, both in person and in writing * Experience working in an Agile team, especially short build; Demo; Feedback cycles with business users ## Description Kforce has a client that is seeking a Forward Deployed Engineer (AI Applications) in Charlotte, NC. As a Forward Deployed Engineer, you embed with a business team, learn how it works, and ship an AI-powered application that the team uses in production. What you build: * Full-stack applications on our stack * Engineer the context that an LLM reasons over to generate insights and reports * Agentic workflows that improve business processes: agents handle multi-step work such as gathering data, drafting outputs and routing for approval, and people review the decisions that matter How you build: * With coding agents: Claude Code and Codex are your primary build tools * With guardrails: You enforce quality through automated tests, test coverage and our existing quality gates * With the business, every day: You refine, build and demo with users daily