Join our team as a Custom Software Engineer, focusing on full-stack development to create innovative solutions. This role is ideal for engineers with 2-5 years of experience who are passionate about building scalable, high-performing applications using modern frameworks and agile methodologies.

We are seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions. You will leverage Generative and Agentic AI frameworks to drive innovation, efficiency, and business transformation, contributing to our AI-powered tech talent initiatives.

Develop custom software solutions, coding and enhancing components across various systems and applications. Apply modern frameworks and agile practices to deliver scalable, high-performance solutions. Lead AI-driven solution design and delivery, applying GenAI and Agentic AI to complex business challenges, automating processes, and integrating intelligent insights.

Contribute to hands-on coding for application development, write clean and efficient code in languages like .NET Core (C#, ASP.NET) and Python. Design scalable, cloud-native application architectures, focusing on performance and integration in multi-cloud environments. Build and maintain integrations using APIs, microservices, and event-driven patterns. Implement practical AI features using cloud-based AI services or frameworks.

A Bachelor's degree in computer science, Engineering, or a related field is required, following a 15-year full-time education path. Minimum of 2 years of experience in full-stack development is essential. Strong proficiency in .NET and Python for backend development, with hands-on experience in front-end frameworks like React or Angular. Basic exposure to AI/ML integration is necessary.

Demonstrated experience in multi-cloud environments (AWS, Azure, Google Cloud) is expected. Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture is crucial. Familiarity with containerization (Docker, Kubernetes) and Infrastructure as Code (IaC) tools like Terraform or BiCep is beneficial. Understanding of DevOps practices, CI/CD pipelines, and secure coding practices is also required.