Design, develop and maintain complex, high-performance, and scalable full-stack software applications that interface with AI models and systems.
Collaborate with cross-functional teams, including data scientists, AI researchers, mobile app developers, and AI/ML engineers, to gather requirements, define project scope, and ensure alignment with business objectives and goals.
Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks in a cloud-native (Azure) environment.
Troubleshoot and resolve complex software issues, ensuring optimal application performance and reliability when interfacing with AI/ML systems.
Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions.
Contribute to the development and maintenance of technical documentation, including design specifications, API documentation, and user guides.
What you will need:
Required
Educational qualification of B Tech / BS or equivalent
7 years of experience in software development, with a focus on full stack development.
7 years of strong knowledge of multiple programming languages, such as JavaScript, Python, Java, or C#.
3 Years proven experience with front-end technologies and frameworks, such as React, Angular, or Vue.js.
3 Years solid understanding of back-end technologies and frameworks, such as Node.js, Django, or Spring Boot.
3 Years of understanding of schematics and Basic analog & digital electronics
Familiarity with database technologies, such as SQL, NoSQL, and ORM tools.
Experience with Azure cloud platform, services, and best practices.
Embedded Systems
Preferred
Experience of working with multi-tiered software application Design & Development
Familiarity with database technologies, such as SQL, NoSQL, and ORM tools.
Experience with Azure cloud platform, services, and best practices.
Knowledge of AI and machine learning concepts, technologies, and integration techniques.
Experience with version control systems, such as GitLab, and project management tools such as Jira or Azure DevOps.
Knowledge of CI/CD pipelines, containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.
