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Remote, metro Bengaluru, mid-level generalist AI role with broad GenAI demand increases candidate competition.
ML/LLMOps skills transfer across industries, though regulated healthcare experience is preferred.
Explicit 4–6 years plus required LLMOps, cloud, Snowflake, and production governance raises strictness.
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Design, deploy, and operate enterprise Generative AI and agentic AI solutions using Large Language Models (LLMs).
Implement AI operations including prompt management, model monitoring, performance optimization, and governance controls.
Develop and maintain scalable data pipelines integrating various structured and unstructured data sources for enterprise AI workloads.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or related technical discipline.
4-6 years of work experience in AI engineering or related domains.
Experience with Generative AI, LLM-based applications, AI agents, chatbot solutions, RAG systems, or conversational AI platforms.
Proficiency in Python, SQL, API integrations, Snowflake, and cloud platforms such as AWS, Azure, or GCP.
Experienced in AI operations including model lifecycle management, monitoring, incident resolution, and governance.
Knowledgeable in designing enterprise-scale data integration and ETL/ELT frameworks supporting AI workloads.
Familiarity with regulated industries (healthcare, life sciences, diagnostics) and responsible AI practices is preferred.