Join our team as a Custom Software Engineer and be at the forefront of innovation. You'll design, code, and enhance components across various systems and applications using modern frameworks and agile practices. Our focus is on delivering scalable, high-performing solutions that precisely meet business needs, with an emphasis on AI-driven development to transform enterprises.

This role is for a dynamic professional with an AI-first mindset, dedicated to designing, developing, and deploying enterprise-grade solutions. You will leverage Generative and Agentic AI frameworks to drive efficiency and business transformation, contributing to an AI Powered Tech Talent ecosystem.

Lead the design and delivery of AI-driven solutions by applying GenAI and Agentic AI to tackle complex business challenges. Automate processes and integrate intelligent insights into enterprise workflows for measurable impact. You will be actively coding, testing, and deploying application-heavy solutions, writing clean code in .NET Core (C#, ASP.NET) or Python, and contributing to front-end development with React or Angular.

Collaborate with senior architects on scalable, cloud-native application architectures, and build integrations using APIs, microservices, and event-driven patterns. Implement applications across AWS, Azure, and Google Cloud, and integrate practical AI features. Support DevOps teams with containerized solutions and CI/CD pipelines, and optimize applications for performance and security.

We are seeking experienced Application Architects / Senior Developers with 2-5 years of hands-on full-stack development experience. A strong command of .NET Core and Python for backend development, coupled with experience in front-end frameworks like React or Angular, is essential. You should have demonstrated experience building solutions in multi-cloud environments (AWS, Azure, Google Cloud) and practical experience with integration patterns and microservices.

Familiarity with containerization tools like Docker and Kubernetes, and Infrastructure as Code tools such as Terraform, is expected. Basic exposure to AI/ML integration, understanding of DevOps practices, and knowledge of secure coding standards are also required. A Bachelor's degree in computer science, Engineering, or a related field is necessary, with relevant certifications being a plus.