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Mid-level AI engineer in Bangalore with LLM skills and broad responsibilities drives high competition.
AI agent and LLM specialization makes skills somewhat transferable but industry-specific expertise matters.
Explicit 2–4 years plus mandatory LLM, RAG, cloud, and API experience increases screening strictness.
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Own design and development of end-to-end AI automation pipelines and AI agent systems integrating business inputs and outputs.
Build, run, and monitor cloud-based AI-powered workflows and APIs with a focus on production readiness, reliability, and performance impact measurement.
Implement human-in-the-loop governance for AI agents and ensure continuous system evaluation and improvement.
Bachelor’s degree in Computer Science or related field.
2–4 years of software engineering experience building production systems.
Proficiency in Python, C#, or Java and experience building REST APIs.
Experience with cloud-based applications (Azure preferred; AWS/GCP acceptable) and hands-on experience with LLMs including prompt design and output validation.
Experienced in designing automation workflows that improve existing processes before automation.
Skilled at full-stack AI system development, including API design, cloud infrastructure, AI tool integration, and continuous evaluation.
Comfortable working with complex AI agent frameworks and operational governance in enterprise environments.