Join our team as a Custom Software Engineer and play a pivotal role in developing innovative software solutions. This full-time position involves designing, coding, and enhancing system components to meet specific business needs.

You will leverage modern frameworks and agile methodologies to deliver scalable, high-performing applications. The role requires a strong foundation in .NET Full Stack Development, with a minimum of two years of experience. We are seeking individuals with an AI-first mindset to contribute to enterprise-grade solutions using Generative and Agentic AI.

This opportunity is ideal for forward-thinking professionals eager to drive innovation and efficiency through cutting-edge technology. Emphasis is placed on creating AI-powered talent and transforming business processes.

Develop and enhance custom software components, ensuring scalability and performance. Utilize modern frameworks and agile practices for efficient solution delivery. Lead AI-driven solution design, applying GenAI and Agentic AI to complex business challenges. Automate processes and integrate intelligent insights into enterprise workflows. Design, code, test, and deploy application-heavy solutions using .NET Core and Python. Contribute to front-end development with React or Angular. Build and maintain integrations using APIs, microservices, and event-driven patterns. Deploy applications across multi-cloud environments (AWS, Azure, Google Cloud). Implement practical AI features and integrate cloud-based AI services. Collaborate with DevOps teams on containerized solutions and CI/CD pipelines. Optimize applications for performance and security. Work closely with cross-functional teams to translate requirements into technical solutions.

A minimum of 2 years of experience in .NET Full Stack Development is essential. Proficiency in .NET Core, MVC, and Python for backend development. Working knowledge of front-end technologies such as React or Angular. Foundational understanding of AI integration and cloud-based AI services. Experience in designing and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud). Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture. Familiarity with containerization tools like Docker and Kubernetes, and IaC (e.g., Terraform, BiCep). Understanding of secure coding practices and enterprise security standards. Strong debugging and problem-solving skills with a hands-on approach. Excellent communication skills for effective collaboration with stakeholders. Bachelor's degree in computer science, Engineering, or a related field is required.