Design, develop, and maintain scalable AI agents using AI Foundry, Fabriq IQ, and Microsoft Copilot.
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.
Use AI tools such as GitHub Copilot and Claude Code to accelerate development, including code generation, debugging, and documentation.
- Integrate AI across SDLC phases: requirements, design, coding, testing, and deployment.
Apply structured AI SDLC frameworks, such as BMAD or similar approaches, to optimize development workflows.
- Contribute to evolving best practices for AI-assisted engineering.
- 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.
Agile Delivery
- 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.
- 1+ year of experience with agentic development.
Strong proficiency in:
- Microsoft AI technologies: AI Foundry, Fabric, and Copilot.
- Experience building and consuming RESTful APIs and microservices architectures.
- Hands‑on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar tools.
- Strong understanding of modern SDLC practices (Agile, DevOps, CI/CD).
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.
Additional Skills
- Familiarity with cloud platforms such as Azure or AWS and modern DevOps pipelines.
- Strong problem-solving and analytical skills.
- Ability to work effectively 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 a focus on outcomes and delivery.