Join us as a Custom Software Engineer to craft innovative, AI-driven enterprise solutions. This role focuses on leveraging Generative and Agentic AI frameworks to enhance efficiency and drive business transformation. You'll be instrumental in designing, developing, and deploying high-performance applications tailored to unique business needs, utilizing modern technologies and agile methodologies.

This is an opportunity to work with cutting-edge AI technologies and contribute to impactful projects. We seek a forward-thinking professional with a passion for AI and a strong technical background to elevate our software offerings.

Lead the design and delivery of AI-powered solutions, applying GenAI and Agentic AI to solve complex business challenges and automate processes. Develop, test, and deploy robust application solutions using .NET Core (C#, ASP.NET) and Python, while contributing to front-end development with React or Angular. Design scalable, cloud-native application architectures for multi-cloud environments (AWS, Azure, Google Cloud), ensuring performance and maintainability. Build and maintain integrations using APIs, microservices, and event-driven patterns. Implement AI features, collaborate with DevOps on containerization and CI/CD, and optimize applications for performance and security. Foster team collaboration and continuously learn about new technologies.

A Bachelor's degree in Computer Science, Engineering, or a related field is required. We are looking for 5-12 years of extensive full-stack development experience, including at least 2 years in a lead developer or junior architect capacity. Proficiency in .NET and Python for backend development, along with hands-on experience in front-end frameworks like React or Angular, is essential. Demonstrable experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud) is expected. Basic exposure to AI/ML integration, practical experience with integration patterns and microservices, and familiarity with containerization and IaC tools are necessary. Working knowledge of DevOps practices and secure coding standards is also required.