Join our team as a Custom Software Engineer and contribute to developing innovative software solutions. You'll be instrumental in designing, coding, and enhancing components across various systems and applications. We emphasize the use of modern frameworks and agile methodologies to deliver scalable, high-performing solutions that meet specific business requirements.

This role requires a forward-thinking professional with an AI-first mindset, dedicated to designing, developing, and deploying enterprise-grade solutions. You will leverage Generative and Agentic AI frameworks to drive innovation, improve efficiency, and facilitate business transformation, embodying our commitment to AI-powered talent.

Develop and implement custom software solutions, focusing on design, coding, and enhancement of system components.

Utilize modern frameworks and agile practices to deliver scalable and high-performing solutions tailored to business needs.

Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges and automate processes.

Integrate intelligent insights into enterprise workflows for measurable business impact.

Design end-to-end, application-heavy enterprise architectures across multi-cloud environments (AWS, Azure, Google Cloud).

Lead the design and implementation of robust, scalable applications with a full-stack development focus.

Requires a minimum of 2 years of full-time education and 2 years of experience.

Must possess strong skills in .Net Full Stack Development.

Proficiency in Generative and Agentic AI, prompt engineering, and AI evaluation frameworks is essential.

Demonstrated ability to align AI capabilities with business objectives, ensuring scalability and responsible use.

Experience with .NET Core, ASP.Net, and Python for backend development is required.

Exposure to modern front-end technologies such as React or Angular is necessary.

Solid understanding of AI concepts and their integration into enterprise systems is crucial.

Expertise in integration patterns (e.g., REST, microservices, event-driven architectures) and containerization (Docker, Kubernetes) is expected.

A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.