Join us as a Custom Software Engineer and contribute to building innovative, scalable, and high-performing solutions. This role involves designing and developing custom software to meet specific business needs using modern frameworks and agile practices. You will be at the forefront of integrating AI-first technologies to drive efficiency and transformation.

We are seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions. Leverage Generative and Agentic AI frameworks to foster innovation and enhance business operations. This is an opportunity to shape the future of enterprise applications with cutting-edge technology.

Take the lead in designing and delivering AI-driven solutions, applying GenAI and Agentic AI to solve complex business challenges. Automate processes and embed intelligent insights into enterprise workflows for measurable impact. You will be actively involved in hands-on coding, developing, testing, and deploying application-heavy solutions with clean, efficient code in .NET Core (C#, ASP.NET) and Python. Contribute to front-end development using React or Angular. Partner with senior architects on designing scalable, cloud-native application architectures, prioritizing performance and maintainability in multi-cloud environments. Build and maintain integrations using APIs, microservices, and event-driven patterns. Deploy applications across AWS, Azure, and Google Cloud, optimizing for cost and performance. Implement practical AI features and collaborate with DevOps teams on containerized solutions and CI/CD pipelines.

We are looking for dynamic Mid-Level Application Architects / Senior Developers with 2-5 years of hands-on experience in full-stack development. A strong focus on .NET Core, MVC, and Python is essential, along with practical knowledge of front-end technologies like React or Angular. Foundational understanding of AI integration, including cloud-based AI services or simple ML frameworks, is required. Experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud) is crucial. Proficiency in integration patterns (REST APIs, message queues) and microservices architecture is expected. Familiarity with infrastructure tools such as Docker, Kubernetes, and IaC (Terraform, BiCep) is beneficial. A Bachelor's degree in computer science, Engineering, or a related field is required. Certifications like Azure Developer Associate or Azure AI Fundamentals are a plus. Strong debugging, problem-solving, and communication skills are essential for effective collaboration.