Join our team as a Custom Software Engineer and play a key role in developing innovative, enterprise-grade solutions. This position emphasizes an AI-first mindset, utilizing Generative and Agentic AI frameworks to drive significant business transformation and efficiency. You will be instrumental in designing, developing, and deploying advanced solutions that address complex challenges and integrate intelligent insights across various workflows.

This role is perfect for a forward-thinking professional eager to leverage cutting-edge AI technologies to create impactful business outcomes. We are looking for someone passionate about building scalable, high-performing applications tailored to specific business needs.

Lead the design and delivery of AI-driven solutions by applying Generative AI and Agentic AI to solve intricate business problems and automate processes. Integrate intelligent insights into enterprise workflows for tangible business impact. Actively code, test, and deploy application-heavy solutions, writing clean, efficient code in languages like Java Spring Boot and Python. Contribute to front-end development using React or Angular. Partner with senior architects on scalable, cloud-native application design, focusing on performance and multi-cloud integration. Build and maintain integrations using APIs, microservices, and event-driven patterns. Deploy applications across AWS, Azure, and Google Cloud, optimizing for cost and performance. Implement practical AI features and collaborate with DevOps teams on containerization and CI/CD pipelines. Ensure applications meet rigorous performance and security standards and mentor team members.

A Bachelor's degree in Computer Science, Engineering, or a related field is required. We seek candidates with 2-5 years of hands-on full-stack development experience, including at least 2 years in a lead developer or junior architect capacity. Demonstrated experience with 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 in front-end frameworks like React or Angular, is necessary. Basic exposure to AI/ML integration and practical experience with integration patterns and microservices architecture are required. Familiarity with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform) is expected. Working knowledge of DevOps practices, CI/CD pipelines, and secure coding standards is also important. Excellent debugging, problem-solving, and communication skills are crucial for this role.