Join our team as a Custom Software Engineer and play a pivotal role in developing innovative, enterprise-grade solutions. You will leverage Generative and Agentic AI frameworks to drive business transformation and efficiency.

This role is ideal for a forward-thinking professional with an AI-first mindset, seeking to design, develop, and deploy cutting-edge applications that address complex challenges and deliver measurable impact.

Lead the design and implementation of AI-driven solutions, integrating GenAI and Agentic AI to automate processes and enhance enterprise workflows. Focus on hands-on coding, developing, testing, and deploying scalable, secure applications across multi-cloud environments (AWS, Azure, Google Cloud).

Develop robust integrations using APIs, microservices, and event-driven patterns. Implement practical AI features and collaborate with DevOps teams on containerized solutions and CI/CD pipelines. Ensure applications meet stringent performance and security standards through continuous learning and best practices.

A Bachelor's degree in Computer Science, Engineering, or a related field is required, along with 2-5 years of experience in full-stack development, with at least 2 years in a lead developer or junior architect capacity.

Proficiency in Java Spring boot and Python for backend, with working knowledge of front-end technologies like React or Angular, is essential. Experience with multi-cloud platforms (AWS, Azure, Google Cloud) and a foundational understanding of AI integration are crucial. Familiarity with DevOps practices, containerization (Docker, Kubernetes), and infrastructure as code tools (Terraform) is expected.