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Tier-1 employer, mid-level LLM/AI role in Bangalore with broad cloud and LLM skill requirements.
LLM/ML engineering skills are transferable, though enterprise healthcare compliance increases domain specificity.
Multiple mandatory technical skills, LLM experience and minimum 5+ years make shortlisting highly selective.
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Design, develop, and deploy enterprise-grade AI solutions focusing on Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow automation.
Build and maintain scalable backend AI-powered applications and services integrating LLMs with frameworks like Spring AI, LangChain, and LangGraph, on cloud platforms AWS and Azure.
Implement observability, monitoring, security, compliance, and responsible AI best practices for production AI systems.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or related field, or equivalent practical experience.
5+ years of overall software engineering experience.
Hands-on experience with LLM-based applications, Agentic AI concepts, RAG architectures, and frameworks such as Spring AI, LangChain, LangGraph.
Practical experience with AWS and Azure cloud AI/ML services, DevOps practices including CI/CD, Docker, Kubernetes, and knowledge of vector databases.
Experienced in developing scalable, production-grade AI systems integrating multiple AI orchestration tools and cloud-native AI services.
Capable of translating complex business needs into operational AI workflows with multi-step reasoning, prompt engineering, and evaluation.
Knowledgeable about enterprise integration patterns, security, compliance, and responsible AI to ensure reliable and secure AI solutions.