Join our team as a Custom Software Engineer to craft innovative software solutions. You will be instrumental in designing, coding, and enhancing components across various systems and applications. By leveraging modern frameworks and agile methodologies, you'll deliver scalable, high-performance solutions that precisely meet unique business requirements. This role is ideal for a forward-thinking professional with an AI-first mindset, ready to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks to drive significant business transformation.

Your primary responsibility will be leading AI-driven solution design and delivery. You will apply GenAI and Agentic AI to tackle complex business challenges, automate intricate processes, and embed intelligent insights into enterprise workflows for demonstrable impact. This includes hands-on coding in .NET Core (C#, ASP.NET) and Python, contributing to front-end development with React or Angular, and designing scalable, cloud-native application architectures for multi-cloud environments (AWS, Azure, Google Cloud). You will also build integrations using APIs and microservices, implement AI features, support containerized solutions with DevOps practices, and optimize applications for performance and security.

We are seeking experienced Application Architects or Senior Developers with a minimum of 3 years of hands-on full-stack development experience, including at least 2 years in a lead developer or junior architect role. A strong command of .NET Core, MVC, and Python for backend development, along with familiarity in front-end technologies like React or Angular, is essential. Basic exposure to AI/ML integration, practical experience with integration patterns and microservices architecture, and familiarity with containerization (Docker, Kubernetes) and IaC tools (Terraform) are required. Experience deploying applications across multi-cloud environments (AWS, Azure, Google Cloud) and a working knowledge of DevOps practices are also crucial. A Bachelor's degree in Computer Science, Engineering, or a related field is necessary.