Full Stack AI Engineer

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a Full Stack AI Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details. Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution. Role: Full Stack AI Engineer Location: HYDERABAD | BANGALORE | PUNE | CHENNAI Experience: 5+ Years Employment Type: Contract to hire Notice Period:0-30 days(If you have negotiable notice period or buyout option please apply) Requirements We are seeking a highly skilled Full Stack AI Engineer to design, build, and scale intelligent applications across the full technology stack. This role combines strong backend and frontend engineering expertise with applied AI/ML implementation in enterprise cloud environments. You will work closely with product managers, architects, data scientists, and DevOps teams to deliver production-grade AI-powered solutions that are secure, scalable, and aligned with business objectives. This is a hands-on engineering role requiring experience across application development, AI model integration, cloud architecture, and DevSecOps practices. Key Responsibilities AI / Machine Learning Design and implement AI/ML solutions for real-world business use cases. Integrate ML models (e.g., forecasting, classification, NLP, computer vision) into production-grade applications. Develop APIs and services that expose AI capabilities securely and efficiently. Optimize model performance, latency, scalability, and monitoring in production. Implement model lifecycle management (training, deployment, monitoring, retraining). Backend Development Design and develop scalable RESTful and/or GraphQL APIs. Build microservices-based architectures. Implement authentication, authorization, and secure API access. Develop data pipelines and integrate with structured and unstructured data sources. Ensure high availability, performance tuning, and observability. Frontend Development Develop responsive, user-friendly web applications. Build interactive dashboards and AI-driven user experiences. Integrate frontend applications with backend AI services. Ensure accessibility, usability, and performance optimization. Cloud & DevOps Deploy applications and models in cloud environments (Azure, AWS, or GCP). Implement CI/CD pipelines for application and model deployment. Apply infrastructure-as-code (Terraform, ARM, Bicep, etc.). Implement monitoring, logging, and alerting. Ensure security compliance and…