GEN AIML Full Stack

Job description

Location Hyderabad,Chennai & Bangalore Experience 6-12 Years Evening Shift 3 30 PM - 12 30 PM ISTRole Summary Full stack engineer to support O&M customer onboarding and feature development for a cloud-native, AI-driven OCR platform on Azure. Role requires working across production support and feature engineering in a containerised (AKS) environment, with exposure to AI/Agentic systems Key Responsibilities Own production support for distributed applications Develop features using Python and AngularReact Work on Azure platform mandatory Provide customer onboarding, API integration, and ongoing support Implement observability Contribute to AI-driven, agentic workflows and platform enhancements Improve DevOps, system design, and O&M processes through automation - mandatory Use customer insights and feedback to drive product improvements **Required Skills & Experience** Strong Python backend + Angular (preferred) / React frontend - mandatory Hands-on Azure ecosystem (Container Apps, AKS, networking, platform services, Azure Cognitive Search (Hybrid Search) - mandatory Strong knowledge of Containers & Kubernetes - mandatory Experience with MongoDB and SQL Server - Experience with monitoring/observability (Log Analytics, APM, alerts) Strong distributed systems understanding (scalability, reliability, performance) - mandatory Strong secure coding and system design practices Hands-on DevOps, CI/CD, and production O&M environments - mandatory Exposure to Linux / Red Hat environments Experience with Gen AI pipelines good if worked on OCR related projects Exposure to AIOps practices Prompt engineering / LLM workflows Soft Skills Strong communication (global stakeholder interaction) Ability to work with customers across varying technical expertise levels Customer-first mindset focused on platform adoption and success What We’re Looking For Experience in both O&M and feature development Strong hands-on Azure cloud-native exposure Comfortable in customer-facing, production-critical environments Applied Productivity Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. Continuous Learning Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity