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Strong brand, mid-level experience requirement, and Bangalore metro increase candidate competition.
Requires combined generative-AI and full-stack expertise, limiting cross-industry transferability.
Mandatory 5+ years, generative AI experience, and specific tech stack make filtering strict.
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Design, develop, and deploy AI-driven full-stack applications integrating advanced AI technologies like LLMs, RAG pipelines, and real-time AI responses.
Build responsive, accessible enterprise UI/UX solutions using React.js/Next.js, TypeScript, TailwindCSS, and Material UI from Figma designs to MVP.
Deploy and manage scalable, secure AI applications on Azure and AWS using serverless architectures and CI/CD pipelines, collaborating cross-functionally to optimize model deployment and user experience.
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Minimum 5+ years of experience building full-stack AI applications, including at least 1 year focused on Generative AI.
Proven expertise in AI applications such as RAG solutions, agentic AI systems, UI/UX design, and hands-on experience with LLMs (e.g., GPT, Claude).
Work location: Hebbal, Bangalore (Karnataka), Hybrid mode.
Experienced full-stack engineer with strong AI application development skills, especially in generative AI and LLM deployment and optimization.
Proficient in integrating AI capabilities into scalable, high-performance enterprise solutions combining frontend and backend technologies.
Able to thrive in a cross-functional environment working closely with AI/ML engineers, designers, product teams, and leveraging cloud platforms like Azure and AWS for deployment.