Staff Engineer, AI

Work Flexibility: Hybrid

What you will do:

• 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.

Travel Percentage: 10%