Full Stack Engineers for AI Platforms

We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands‑on development and practical solution design. The ideal candidate will have robust experience in Java and/or .NET, and Python, with working knowledge of front‑end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi‑cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications.

Key Responsibilities

• Develop, test, and deploy backend systems using Java, .NET, and Python; contribute to front‑end development with React or Angular.
• Design scalable, cloud‑native architectures with senior architects, focusing on performance and integration.
• Build integrations using APIs, microservices, and event‑driven patterns (REST, GraphQL, Kafka).
• Deploy applications across AWS, Azure, and Google Cloud, optimizing for cost and performance.
• Implement AI features (automation, analytics) using cloud AI services or frameworks like TensorFlow/PyTorch.
• Support infrastructure with DevOps teams using Docker, Kubernetes, and IaC tools (Terraform, CloudFormation).
• Ensure performance and security through code reviews, testing, and best practices.
• Collaborate with cross‑functional teams to translate requirements into technical implementations.
• Stay current on full‑stack development, cloud, and AI trends.

Qualifications & Skills

• 7–12 years in full‑stack development; 2+ years in lead developer or junior architect roles.
• Experience with multi‑cloud environments (AWS, Azure, Google Cloud).
• Proficient in Java platforms such as Spring Boot, Java Enterprise Edition, and Spring Application Framework, as well as Node.js or Ruby on Rails.
• Proficient in .NET, Python; front‑end frameworks like React or Angular.
• Must have exposure to AI/ML integration via cloud services or ML frameworks.
• Familiarity with integration patterns, microservices, Docker, Kubernetes, IaC tools.
• Experience with cloud‑native services (AWS Lambda, Azure Functions, GCP Cloud Run).
• Knowledge of DevOps practices, CI/CD pipelines, and monitoring tools.
• Understanding of secure coding and enterprise security standards (IAM, encryption).

Soft Skills

• Strong debugging, problem‑solving, and communication skills.
• Ability to balance coding with architectural contributions.
• Eagerness to learn and adapt to new technologies.

Education

• Bachelor’s in Computer Science, Engineering, or related field.
• Certifications like AWS Developer, Azure Developer Associate are a plus.
• Minimum 3‑year(s) of experience is required.