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Global consulting brand, Bangalore location, and mid-level AI role create moderate applicant competition.
ML/LLM-focused engineering skills transfer across industries but still require domain-specific experience, so moderate sensitivity.
Explicit 6–8 years and mandatory LLM/Java/SpringBoot/LLM tooling requirements make filters strict.
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Develop and enhance applications featuring Agentic AI capabilities using Java, SQL, and large datasets.
Efficiently query and generate reports from databases and present them on the user interface.
Work independently within a hybrid work model, contributing to application development and data processing tasks.
6 to 8 years of overall experience.
Proficiency in Java, Spring Boot, RESTful APIs, and SQL.
Strong understanding and hands-on experience with LLM, RAG, LangChain, LangGraph, and agentic AI prompting techniques.
Bachelor's degree in Computer Science or related field with at least 3 years of relevant experience.
Experienced in fast-paced environments with the ability to work independently on AI-driven application development.
Technical proficiency in integrating large language models and agentic AI frameworks into production systems.
Familiarity with cloud and hybrid work models, with potential knowledge of Kubernetes/OpenShift and OAuth authentication as a plus.