Direct message the job poster from Stellium
As our AI Pro Code Developer, you’ll help scale our delivery capability by working closely with our tech lead to design and build intelligent, cloud-based solutions.
Responsibilities
- Design, develop, and maintain cloud-native full-stack applications with a focus on performance, scalability, and security.
- Build responsive, user-friendly front-end interfaces using modern frameworks such as React, Angular, or Vue.
- Develop and integrate back-end services, including RESTful APIs and serverless architectures, in a cloud environment.
- Collaborate with architects and business analysts to ensure business requirements are translated into efficient and innovative technical solutions.
- Ensure application stability and security, adhering to industry best practices and company standards.
- Research and propose new technologies, including Generative AI models, to enhance application functionality and user experiences.
- Develop AI-driven functionalities such as intelligent content generation, chatbots, and predictive analytics.
- Write and maintain detailed technical documentation.
- Support presales activities and contribute to technical content creation for marketing campaigns (e.g., blog articles, case studies).
- Continuously seek opportunities for improvement, including optimizing performance, introducing automation, and ensuring compliance with the latest cloud and AI advancements.
Your Profile & Technical Knowledge
- Degree in Computer Science, Engineering, or a related field (Bachelor's degree minimum).
- Solid experience with .NET 6+ and cloud platforms like Microsoft Azure.
- Experience with front-end frameworks such as React, Angular, or Vue.
- Strong experience in RESTful API design and OpenAPI specifications.
- Familiarity with SQL and NoSQL databases.
- Understanding of cloud-based development principles, integration and event-driven architectures.
- Experience with software development methodologies such as SCRUM or Agile, and tools like Azure DevOps or GitHub.
- Experience with Generative AI models (e.g., GPT, DALL·E) and their application in developing intelligent features within the Azure platform.
- Ability to integrate AI-driven functionalities, such as chatbots, personalized content generation, or automated decision-making systems, into web applications.
- Familiarity with Natural Language Processing (NLP) and Computer Vision techniques, and their implementation in cloud environments (Azure AI, AWS SageMaker, etc.).
- Knowledge of AI frameworks such as PromptFlow, TensorFlow, PyTorch, or Azure Cognitive Services for developing and fine-tuning generative models.
- Understanding of ethical considerations and responsible AI development for ensuring bias‑free, transparent AI implementations.
Nice to Have
- Experience with SharePoint Framework (SPFx).
- Experience in authentication and authorization protocols (OAuth 2.0, OpenID Connect).
- Experience with application performance tuning, debugging, and UI testing.
- Azure‑related certifications (e.g., AZ‑900, AZ‑204, AZ‑400, DP‑203).
Your Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to mentor, support, and work well in a team environment.
- Organizational and time-management skills.
- Open to continuous learning, especially in AI and cloud-related technologies.
Seniority level
Employment type
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting