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Mid-level AI engineer in Bangalore with common 3–6yr band and generalist software+AI skills increases competition.
High—LLM integration, prompt engineering, and AI application experience favor ML/AI backgrounds over general software.
Explicit 3–6 years plus required LLM, Python/React, and cloud-native skills make shortlisting highly stringent.
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Develop and integrate AI-powered products using large language models (LLMs), AI agents, and Model Context Protocol (MCP) in cloud-native applications.
Responsible for integrating existing AI models and services into production applications; not involved in training foundation models.
Enable workflow automation and build scalable, maintainable AI backend and frontend services using Python, Node.js, and React frameworks.
3–6 years of relevant software engineering experience.
Strong Python skills with production experience in FastAPI, Django, or Flask.
Proficiency in modern React (hooks, TypeScript, state management) and Node.js for tooling or real-time services.
Experience with LLM integration (OpenAI, Gemini, AWS APIs), prompt engineering, and cloud-native development (Docker, Kubernetes, serverless, AWS).
Experienced in building full-stack AI solutions involving LLMs and workflow automation in cloud-native environments.
Comfortable owning end-to-end frontend and backend development with modern React and Python frameworks.
Skilled in integrating AI services via APIs and managing infrastructure with CI/CD, Kubernetes, and serverless technologies on AWS.