Full Stack Developer; AI Demos Focus

Responsibilities

A highly skilled Full Stack Developer with a focus on AI demos will join our dynamic development team to rapidly develop web‑based MVP applications showcasing cutting‑edge AI models through interactive web applications containing 3D models, graph visualizations, and data‑driven dashboards. The role requires expertise in React, Node.js, Three.js, Plotly Dash, Streamlit, and Azure managed services to demonstrate the potential of our technology to key customers.

Duties include:

• Build and rapidly iterate compelling, high‑quality, responsive web applications from concept to customer demo.
• Develop robust and scalable back‑end services using Node.js, Serverless, or Python‑based frameworks to serve data and integrate with AI/ML models.
• Develop interactive frontend visualizations in 2D/3D using modern web technologies including Three.js, Plotly Dash, and Streamlit.
• Collaborate closely with AI scientists and domain experts to understand requirements and translate complex data into intuitive user interfaces.
• Write clean, maintainable, and efficient code following industry best practices.
• Participate in code reviews and provide constructive feedback to team members.

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• Proven experience building rich, interactive frontends with React and Type Script.
• Hands‑on experience with a 3D web graphics library (Three.js).
• Experience building full‑stack applications with Next.js, including creating backend logic using API Routes.
• Experience with Plotly Dash and/or Streamlit for building interactive dashboards and data applications.
• Experience with cloud‑centric development and deployment (Azure); serverless backends (Azure Functions), Azure Storage, and other common services.
• Familiarity with Dev Ops tools and CI/CD pipelines.
• Demonstrates enthusiasm, creativity in problem‑solving, critical thinking, and effective communication in a distributed team environment.
• Strong communication skills in English.

• Experience with 3D modelling (Blender or equivalent).
• Experience with Nvidia Omniverse, its Python SDK, and the Universal Scene Description (USD) format.
• Experience interacting with AI/ML models or AI inference endpoints.
• Familiarity with containerization using Docker.
• Knowledge of authentication and authorization frameworks such as OAuth, JWT, and OpenID Connect.

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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