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Hi, I'm Juhi Banerjee , your Recruiter and guide to joining CSG! We are excited to learn more about you and your unique background. As a Full Stack Software Engineer, you will play a key role in the end-to-end development of software applications, including AI-powered features and integrations. You will work in cross-functional teams to build intuitive user experiences, robust APIs, and cloud-native services, while maintaining a strong focus on quality, performance, and maintainability This role is ideal for engineers who are solid full-stack contributors and are comfortable integrating AI services, APIs, or models into production systems, even if they are not ML specialists. We are looking for a Software Development Engineer II who will be: End-to-End Development - Design, develop, test, and maintain software applications from concept through production. - Build features that enhance user experience and product capabilities. - Collaborate with product managers, designers, and stakeholders to understand requirements and translate them into technical solutions. Front-End Development - Implement responsive, accessible, and intuitive user interfaces using HTML, CSS, and modern JavaScript frameworks (React, Angular, Vue, or similar). - Optimize applications for performance, scalability, and usability. - Integrate front-end applications with APIs and AI-powered services. Back-End Development - Design and implement APIs (REST, GraphQL, event-driven) to support front-end and system integrations. - Develop server-side logic using modern frameworks and design patterns (OOP, functional programming, microservices). - Integrate external services, including AI/ML APIs, LLM-based services, or internal AI platforms. Database & Data Management - Design, create, and maintain data models using SQL and/or NoSQL databases. - Ensure efficient data storage, retrieval, and consistency aligned with application needs. - Support data flows that enable analytics and AI-driven features. Testing & Quality Assurance - Write unit, integration, and/or behavioral tests (TDD/BDD) to ensure code reliability and stability. - Collaborate with QA teams to identify, troubleshoot, and resolve defects and performance issues. - Participate in maintaining high engineering quality standards. Version Control, CI/CD & Deployment - Use Git-based workflows for source control and collaboration. - Contribute to CI/CD pipelines for automated testing, building, and deployment. - Support deployments in cloud environments and troubleshoot production issues when needed. Security, Performance & Optimization - Apply security best practices to protect applications, APIs, and user data. - Identify and address performance bottlenecks and scalability concerns. - Follow secure coding and data-handling standards, especially when working with AI-powered features. Collaboration & Engineering Culture Participate in code reviews and provide constructive feedback. - Collaborate effectively within cross-functional and distributed teams. - Contribute to documentation, technical discussions, and continuous improvement initiatives Is this opportunity right for you? We are looking for candidates who have: - 2-3 years of professional experience as a Software Engineer, Full Stack Developer, or similar role. - Strong proficiency in both front-end and back-end development. - Hands-on experience with at least one modern JavaScript framework (React, Angular, Vue, etc.). - Solid understanding of API design, application architecture, and software design patterns. - Experience working with SQL and/or NoSQL databases and data modeling. - Familiarity with Git, code reviews, and CI/CD pipelines. - Strong problem-solving skills and ability to work both independently and in a team. - Good communication skills and a collaborative mindset. - Proactive, curious, and eager to learn new technologies. AI & Modern Engineering (Required / Strong Plus) - Experience integrating AI/ML services or APIs into applications (e.g., LLMs, recommendation engines, NLP, chatbots, analytics). - Familiarity with AI-enabled workflows, such as calling inference endpoints, handling prompts/responses, or integrating AI outputs into user experiences. - Understanding of data flows, observability, and reliability considerations when working with AI-powered systems. - Ability to collaborate effectively with Data Science, ML, or AI Platform teams.
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