Join our team as a Custom Software Engineer, a Full Stack Engineering Analyst role focused on creating innovative, scalable solutions. This full-time position offers an opportunity to work with modern frameworks and agile practices, delivering high-performing applications tailored to specific business needs. We are seeking forward-thinking professionals with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks.

This role is pivotal in driving innovation, efficiency, and business transformation through AI-powered technology. You will contribute to building software that powers change and empowers people, leveraging cutting-edge technologies to reinvent how businesses operate and impact the world positively.

Develop custom software solutions by designing, coding, and enhancing components across various systems and applications. Lead AI-driven solution design and delivery, applying Generative AI and Agentic AI to tackle complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows.

Key responsibilities include hands-on coding of application-heavy solutions, writing clean code in .NET Core (C#, ASP.NET) and Python for backend systems, and contributing to front-end development with React or Angular. You will also partner with senior architects on designing scalable, cloud-native application architectures, build and maintain integrations using APIs and microservices, and implement practical AI features. Collaborate with DevOps teams on containerized solutions and CI/CD pipelines, and ensure applications meet performance and security standards.

We are looking for a dynamic Mid-Level Application Architect / Senior Developer with 2-5 years of experience, specializing in .NET Full Stack Development. A strong grasp of modern frameworks and agile practices is essential. You should possess a strong understanding of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks, with the ability to align AI capabilities with business objectives.

Candidates must have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular. Practical experience with integration patterns (REST APIs, message queues), microservices architecture, and multi-cloud environments (AWS, Azure, Google Cloud) is required. Familiarity with containerization tools (Docker, Kubernetes) and Infrastructure as Code (IaC) tools like Terraform or BiCep is also necessary. A Bachelor's degree in computer science, Engineering, or a related field is a prerequisite.