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:
AI Application Development & Engineering
- Design develop and deploy AI-enabled applications 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
Cloud & Integration
- 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
- Develop front-end and back-end applications using TypeScript HTML CSS and JavaScript
- 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
- Bachelors degree preferred (Computer Science IT or related field)
Technical Skills
- Strong experience Core C# Python
- Hands-on experience with Azure AI Google AI services or similar platforms
- Full-stack development experience with 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
Benefits
- Competitive Salary Benefits Package
Required Skills:
AI Application Development & Engineering Design develop and deploy AI-enabled applications 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 Cloud & Integration 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 Develop front-end and back-end applications using TypeScript HTML CSS and JavaScript 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
Required Education:
Experience & EducationMinimum 3 years of experience in AI platform development with business impactBachelors degree preferred (Computer Science IT or related field)Technical SkillsStrong experience Core C# PythonHands-on experience with Azure AI Google AI services or similar platformsFull-stack development experience with TypeScriptStrong expertise in Azure stack AKS API development and DevOpsExperience with AI/ML frameworks agent-base
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...
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:
AI Application Development & Engineering
- Design develop and deploy AI-enabled applications 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
Cloud & Integration
- 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
- Develop front-end and back-end applications using TypeScript HTML CSS and JavaScript
- 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
- Bachelors degree preferred (Computer Science IT or related field)
Technical Skills
- Strong experience Core C# Python
- Hands-on experience with Azure AI Google AI services or similar platforms
- Full-stack development experience with 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
Benefits
- Competitive Salary Benefits Package
Required Skills:
AI Application Development & Engineering Design develop and deploy AI-enabled applications 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 Cloud & Integration 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 Develop front-end and back-end applications using TypeScript HTML CSS and JavaScript 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
Required Education:
Experience & EducationMinimum 3 years of experience in AI platform development with business impactBachelors degree preferred (Computer Science IT or related field)Technical SkillsStrong experience Core C# PythonHands-on experience with Azure AI Google AI services or similar platformsFull-stack development experience with TypeScriptStrong expertise in Azure stack AKS API development and DevOpsExperience with AI/ML frameworks agent-base