Full-Stack AI Engineer

Primary Responsibilities

• Lead the design and development of scalable, AI-enabled applications using modern AI / ML technologies.
• Own the end-to-end lifecycle of AI / ML solutions, ensuring seamless integration, scalability, and performance.
• Architect and maintain robust backend services using Python and Java frameworks (e.G., FastAPI, Spring), with a focus on performance and security.
• Build intuitive front-end interfaces using React.Js to deliver seamless user experiences.
• Apply best practices to develop secure, cloud-native solutions aligned with real-world use cases (Azure / Google Cloud).
• Evaluate existing systems and propose architectural enhancements with detailed technical design documentation.
• Collaborate with Product Owners, Scrum Masters, and SMEs to translate business needs into technical solutions.
• Facilitate technical design walkthroughs and gather actionable feedback from stakeholders.
• Plan and execute comprehensive testing strategies, including automation and performance testing.
• Provide production support, including real-time debugging and root cause analysis.
• Ensure system stability through proactive monitoring and long-term fixes.
• Manage task priorities effectively within Agile frameworks.
• Stay current with emerging AI / ML technologies and industry trends.
• Drive innovation by exploring new tools and techniques to improve scalability and performance.
• Comply with company policies, including flexibility in work location and team assignments.

Required Qualifications