Software Developer

Main Tasks

Key responsibilities

• Design, build, test, and maintain software applications supporting analytics and GenAI use cases


• Develop backend services and application logic primarily in Python


• Build intuitive user interfaces and web applications using React


• Design and operate cloud-native solutions on Amazon Web Services (AWS)


• Support development of GenAI applications such as internal assistants, document intelligence tools, knowledge search solutions, and workflow copilots


• Integrate large language model based capabilities into business applications and internal platforms


• Collaborate with data scientists and data engineers to productionize machine learning and GenAI solutions


• Develop and maintain application programming interfaces (APIs) and service integrations with enterprise systems and data platforms


• Support the development and continuous improvement of the internal data marketplace as a platform for discovering, accessing, and hosting analytics and GenAI applications


• Build and operate applications and services that are deployed through the internal data marketplace, including user-facing features, access workflows, metadata-driven capabilities, and integration components


• Ensure software quality through testing, code reviews, documentation, monitoring, and structured deployment practices


• Apply security, privacy, and governance requirements to AI and software solutions


• Contribute to reusable components, development standards, and best practices for data and AI products


• Support troubleshooting, performance tuning, and continuous improvement of productive applications

Typical use cases

• Internal GenAI assistants for knowledge access and productivity support


• Document summarization, extraction, and classification solutions


• Search and retrieval applications across technical and business content


• Analytics applications with interactive user interfaces


• Workflow automation tools for internal business processes


• Applications and services published through the internal data marketplace


• Platform features supporting the internal data marketplace, such as application onboarding, discoverability, access enablement, and usage transparency


• Rapid prototypes and minimum viable products for digital and AI initiatives

Technical skills

• Strong software development skills in Python


• Experience building frontend applications with React


• Solid knowledge of Amazon Web Services (AWS) services for application deployment, storage, compute, and integration


• Experience developing and consuming application programming interfaces (APIs)


• Familiarity with cloud-native architectures, authentication, and secure software design


• Understanding of databases, data pipelines, and handling structured and unstructured data


• Understanding of platform-style application delivery, metadata-driven services, access management, and enterprise application hosting models is a plus


• Experience with version control, automated testing, and continuous integration / continuous deployment


• Familiarity with containerization and deployment practices is a plus


• Exposure to large language models, prompt engineering, retrieval-augmented generation, model evaluation, or AI orchestration frameworks is preferred


• Understanding of monitoring, logging, and production support in cloud environments