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Tier-1 brand, metro location, and a common Full Stack title increase applicant competition.
Strong software and ML skillset is transferable across industries despite enterprise energy context.
Explicit 8–12 years and extensive mandatory Fullstack, GenAI, cloud, and DevOps stack increases filtering.
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Design, develop, and support scalable front-end and back-end web applications including REST APIs and microservices.
Develop, deploy, and monitor machine learning models and implement AI-powered features in enterprise solutions.
Collaborate with product, architecture, and data science teams ensuring application security, performance, and quality within Agile and DevOps frameworks.
8-12 years of relevant work experience.
Strong experience with Frontend technologies: React, Angular, Next.js, TypeScript, JavaScript; Backend technologies: Python, .NET, Node.js, Java; and databases: SQL Server, PostgreSQL, MongoDB, Cosmos DB.
Hands-on experience with Machine Learning and Generative AI tools and frameworks such as LangChain, LangGraph, OpenAI/Azure OpenAI, Claude, Gemini, Llam, and AI concepts like RAG, Prompt Engineering, Function Calling, Vector Search.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field. Work location: Bengaluru, India. No visa sponsorship available.
Experienced in building enterprise-scale AI-enabled applications and familiar with MLOps, model deployment, and monitoring.
Proficient in cloud-native development and DevOps practices using Azure, Docker, Kubernetes, Azure DevOps, GitHub Actions, and CI/CD.
Capable of working effectively in Agile/Scrum teams and collaborating cross-functionally with product, architecture, and data science teams.