Full Stack AI Engineer

About the role

Proficiency in modern front-end frameworks, back-end technologies, APIs, databases, and cloud-native application development Expertise in integrating AI/ML or GenAI capabilities into enterprise applications Experience building data-intensive or analytics-driven enterprise platforms desirable Relevant certifications in cloud, AI/ML, or full-stack engineering technologies preferred

What you'll do

• Lead the hands-on development of full-stack applications integrated with AI/ML and GenAI capabilities for global pharma and enterprise use cases
• Design, build, and maintain scalable front-end, back-end, API, and AI-enabled application components across cloud-native platforms
• Collaborate with product, engineering, data science, and business teams to deliver intuitive, high-performance digital solutions
• Develop and integrate AI/ML models, LLM-based services, and intelligent workflows into enterprise applications
• Collaborate to drive best practices in software engineering, testing, code quality, security, and performance optimization, adopt where applicable

What you need

• 4–7 yrs of experience
• Machine learning
• LLMs
• CI/CD
• Microservices
• Workday
• B.Tech or B.E. or B.Sc or BCA

Good to have

• MLOps