Join our team as a Custom Software Engineer and contribute to the creation of innovative, high-performing solutions. This role focuses on designing, coding, and enhancing components across various systems and applications. We leverage modern frameworks and agile methodologies to deliver scalable solutions tailored to specific business needs.

This position requires a forward-thinking professional with an AI-first mindset. You will be instrumental in designing, developing, and deploying enterprise-grade solutions using Generative and Agentic AI frameworks to drive innovation, efficiency, and business transformation. Embrace AI-powered talent development.

Lead the design and delivery of AI-driven solutions by applying GenAI and Agentic AI to tackle complex business challenges. Automate processes and integrate intelligent insights into enterprise workflows for measurable impact.

Key responsibilities include hands-on coding for application development and deployment, writing clean, efficient code in Java Spring boot and Python, and contributing to front-end development with React or Angular. Collaborate with senior architects on designing scalable, cloud-native application architectures. Build and maintain integrations using APIs, microservices, and event-driven patterns. Develop and deploy applications across AWS, Azure, and Google Cloud. Implement practical AI features using cloud-based AI services or frameworks. Support infrastructure by collaborating with DevOps teams on containerized solutions and CI/CD pipelines. Optimize applications for performance and security through code reviews and adherence to best practices. Work closely with cross-functional teams to translate requirements into technical implementations, providing support and mentorship. Stay updated on full-stack development trends, cloud technologies, and AI advancements.

We are seeking dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate possesses robust experience in Java Spring boot and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration.

Qualifications include 5 to 12 years of hands-on full-stack development experience, with at least 2 years in a lead developer or junior architect role. Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud) is essential. Strong proficiency in Java Spring boot and Python for backend development, along with hands-on experience with front-end frameworks like React or Angular, is required. Basic exposure to AI/ML integration, practical experience with integration patterns and microservices architecture, and familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform) are necessary. Working knowledge of DevOps practices and understanding of secure coding practices are also crucial. Strong debugging and problem-solving skills, clear communication abilities, and an eagerness to learn are vital soft skills.