Black & Grey HR is recruiting for a global technology and digital transformation organization. Our client is looking to hire a Lead AI Full Stack Developer to design, develop, and deploy AI-enabled applications across enterprise environments. This role is key in driving AI innovation, integrating cloud platforms, and delivering scalable, high-performance solutions.
Key Responsibilities:
- Design, develop, and deploy AI-enabled applications using .NET Core, C#, Python, and modern frameworks
- Build scalable, high-performance full-stack applications with AI capabilities
- Develop intelligent agents interacting with APIs and enterprise systems using A2A, MCP, and related techniques
- Research emerging technologies and recommend best-fit AI solutions
- Integrate applications with Azure, Google Cloud, and enterprise systems
- Develop and manage APIs for seamless integration
- Work on cloud-native architectures including containerized deployments (AKS)
Full Stack Development
- Ensure scalable, responsive, and user-friendly application design
- Maintain code quality through testing, reviews, and SDLC best practices
DevOps, Automation & MLOps
- Implement CI/CD pipelines, automation testing, and DevOps practices
- Use scripting tools such as PowerShell, Bash, YAML for automation
- Work with MLOps frameworks for model deployment and monitoring
Architecture & Collaboration
- Collaborate with architects on solution design and technical documentation
- Present technical solutions to both technical and non-technical stakeholders
- Ensure alignment with enterprise standards and best practices
Requirements
Experience & Education
- Minimum 3+ years of experience in AI platform development with business impact
- Bachelor’s degree preferred (Computer Science, IT, or related field)
Technical Skills
- Strong experience in .NET Core, C#, Python
- Hands-on experience with Azure AI, Google AI services, or similar platforms
- Full-stack development experience with React.js, Node.js, TypeScript
- Strong expertise in Azure stack, AKS, API development, and DevOps
- Experience with AI/ML frameworks, agent-based development, and MLOps
- Proficiency in scripting and automation tools
- Knowledge of CI/CD pipelines and cloud deployment strategies
Soft Skills
- Strong analytical and problem-solving abilities
- Effective communication with cross-functional teams
- Ability to present technical concepts to stakeholders