• Write modular, reusable, and testable code across frontend and backend systems. • Take ownership of projects drive decisions, deliver results, and ensure code quality. • Develop new features and APIs leveraging existing systems, even without detailed mockups. • Focus on user experience and usability, testing features from the end-user perspective. • Collaborate with QA to ensure robustness and scalability of new releases. • Partner with Product and Design teams to validate feasibility and improve upcoming changes. • Continuously refactor, optimize, and improve code performance. • Support a culture of code reviews, testing, and CI/CD best practices.

• Develop scalable new features and participate in the maintenance of our ecosystem. • Write clean, high-performance code using Node.js, Next.js and React for both Single Page Applications (SPAs) and Server-Side Rendering (SSR). • Create and integrate generative AI agents directly into product flows to accelerate automation and improve the student experience. • Design and maintain automation workflows and system integrations using n8n to optimize operational and engineering processes. • Work with relational and non-relational databases, performing query optimizations to ensure high performance. • Consume and integrate third-party APIs and webhooks to expand the services of our educational platform. • Create automated tests to ensure reliability, stability and high code coverage in deliveries. • Support the team in agile rituals (Scrum), assisting with technical refinement of tasks and effort estimates. • Perform collaborative code reviews to help maintain a high technical standard across the team.

• Work closely with the Program Manager, Business Analyst, and the Agile team to collaborate on proof of concepts, industrialization of the concepts and the delivery of the concepts in a digital framework for quick release cycle to achieve targeted Minimal Viable Product (MVP). • Using modern technologies including web frameworks, SQL Server, Azure, iPaaS and DevOps tools, design, and develop enterprise applications. • Design and develop business applications and system solutions including test plans, unit testing, safety and soundness testing, regression testing and system integration testing following enterprise architecture, design, and coding standards. • Fully support and participate in all stages of the Agile methodology including daily standup, story planning, backlog grooming, deliverables, and demonstrations. • Provide honest and critical feedback during all stages of the process to ensure better development practices and successful solution implementations. • Provide recommendations to the team for environmental/architectural changes that will increase the stability or improve the performance of Corporate One’s systems and applications. • Fully document necessary aspects of the applications and processes for easy maintenance, transition, and governance needs. • Work closely within and outside of the team for ideation, vendor evaluation and research work; keeps abreast of new technologies and trends to support innovation. • Support the company’s in-house developed applications. Restore functionality to applications that have failed and documents resolutions.

Role Description We are looking for a highly skilled professional to join our team, responsible for architecting and delivering AI-powered applications. - Understand the client’s business use cases and technical requirements, converting them into elegant technical designs. - Own the architecture and technical vision for AI-powered, user-facing applications built with Python, React, and Generative AI. - Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration. - Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards. - Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context. - Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability. - Drive GenAI platformisation—building reusable components, SDKs, and frameworks used across multiple teams or products. - Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions. - Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar. - Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required. - Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices. - Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality. - Map decisions with requirements and translate them to developers. - Identify different solutions and narrow down the best option that meets the client’s requirements. - Define guidelines and benchmarks for NFR considerations during project implementation. - Write and review design documents explaining overall architecture, framework, and high-level design for developers. - Review architecture and design on aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc. - Develop and design the overall solution for defined functional and non-functional requirements; define technologies, patterns, and frameworks to materialize it. - Understand and relate technology integration scenarios and apply these learnings in projects. - Resolve issues raised during code/review through exhaustive systematic analysis of the root cause. - Carry out POCs to ensure that suggested designs/technologies meet the requirements. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Requirements - Total experience of 11+ years. - 10+ years of experience in software engineering, with strong depth in Python and modern frontend frameworks (React). - Proven experience architecting and delivering production-grade Generative AI applications at scale. - Deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design. - Strong system design skills across backend, frontend, and AI infrastructure layers. - Experience defining technical strategy and influencing architecture across teams or pods. - Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems. - Strong grasp of security, privacy, and governance considerations for enterprise AI. - Ability to translate ambiguous business problems into durable technical architectures. - Excellent communication skills, with the ability to influence senior stakeholders and technical leadership.