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Tier-1 brand and metro location but niche LLM/RAG skills reduce applicant density.
ML/LLM skills transfer across industries, but LLM/RAG specialization moderately limits portability.
Explicit 8–10 years requirement plus mandatory LLM, RAG, and language skills increases screening strictness.
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Develop and maintain high-performance AI applications using Java, Java8, and multithreading with design patterns.
Refactor legacy Python code to modern standards enhancing scalability, and develop web applications using Python, Django, JavaScript, HTML5, and CSS3.
Perform API-level testing including RESTful web services and contribute to development/enhancement of risk applications using Java technologies.
6-8 years total work experience with focus on AI, LLM, RAG, Langchain, Langraph or related technologies.
Proficient in Python, Java, Java EE programming languages.
Experience with multithreading and design patterns in Java.
Experience in API testing and development, including RESTful web services.
Deep expertise in AI and large language models with practical experience in related frameworks (LLM, RAG, Langchain).
Strong software engineering background demonstrated by proficiency in multiple programming languages and modern coding practices (Java multithreading, Python refactoring).
Experience working on scalable risk or enterprise applications requiring robust backend architecture and API integrations.