.Net Full Stack Developer with React and strong AI(Generative AI) experience | Summit, NJ(Hybrid) only Local profiles--- F2F
Why This Role Stands Out
You can make a significant impact by leveraging your .NET, React, and cutting-edge Generative AI experience to revolutionize the software development lifecycle at Cyberobotix. This hybrid role is perfect for a mid-senior developer who thrives on innovation and wants to contribute to a forward-thinking technology company. Apply today to join a dynamic team and shape the future of AI-assisted development.
Quick Overview
Job Description
Job Title: .Net Full Stack Developer with React and strong AI(Generative AI) experience
Location: Summit, NJ(Hybrid) only Local profile--- Face to Face interview Required
Duration: Long Term
Job Description:
We are seeking a highly capable Full Stack Software Developer with strong expertise in .NET (backend) and React (frontend), combined with hands-on experience in AI-assisted software development. This role will play a critical part in advancing our AI-driven SDLC by working closely with our internal AI team to refine frameworks, accelerate delivery, and improve software quality.
The ideal candidate brings practical experience using tools such as Cursor and Claude Code, with a strong understanding of how AI can be embedded across the software development lifecycle to drive efficiency and innovation.
Key Responsibilities
Full Stack Development
- Design, develop, and maintain scalable applications using .NET (C#, APIs, backend services) and React (modern frontend frameworks).
- Build responsive, high-performance user interfaces and robust backend services.
- Ensure code quality, performance optimization, and adherence to enterprise architecture standards.
AI-Driven SDLC Enablement
- Apply AI tools (e.g., Cursor, Claude Code) to accelerate development, including code generation, debugging, and documentation.
- Integrate AI across SDLC phases—requirements, design, coding, testing, and deployment.
- Leverage structured AI SDLC frameworks (e.g., BMAD or similar) to optimize development workflows.
- Contribute to evolving best practices for AI-assisted engineering.
Framework Collaboration & Innovation
- Work alongside the internal AI team to refine, validate, and pressure-test existing AI development frameworks.
- Help define and shape the organization’s AI-driven development approach in real time.
- Participate in pilot programs, experimentation, and continuous improvement initiatives.
Solution Design & Business Alignment
- Translate business requirements into scalable, secure, and maintainable technical solutions.
- Collaborate with product owners, architects, and business stakeholders to ensure alignment and clarity.
- Provide input on system design, architecture, and technical trade-offs.
Onsite Execution & Agile Delivery
- Operate onsite in the USA to enable rapid feedback loops and faster decision-making.
- Support iterative delivery, quick prototyping, and continuous alignment with stakeholders.
- Participate in Agile ceremonies and cross-functional collaboration.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 5+ years of experience as a Full Stack Developer.
- Strong proficiency in:
- .NET / C# / ASP.NET Core
- React / JavaScript / TypeScript
- Experience building and consuming RESTful APIs and microservices architectures.
- Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, or similar.
- Strong understanding of modern SDLC practices (Agile, DevOps, CI/CD).
- If close to the office then 3 days per week in an office
Preferred Qualifications
- Experience with AI SDLC frameworks (e.g., BMAD or equivalent).
- Exposure to prompt-driven development and automated code generation workflows.
- Experience contributing to enterprise-scale framework or platform development.
- Familiarity with cloud platforms (Azure, AWS) and modern DevOps pipelines.
Key Competencies
- Strong problem-solving and analytical skills
- Ability to work in fast-paced, evolving AI-driven environments
- Excellent communication and cross-functional collaboration skills
- Adaptability and eagerness to learn emerging AI technologies
- Ownership mindset with focus on outcomes and delivery
Work Environment
- Engagement Model: High-touch collaboration with AI, Product, and Engineering teams
- Focus: Driving enterprise adoption of AI-enabled software development practices
Skills
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