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Mid-level, metro role with broad Java+LLM requirements and generalist title increases applicant density.
Strong backend and LLM skills are transferable but NLP/LLM specialization increases domain sensitivity.
Explicit three-year minimum plus mandatory Java, microservices, database and LLM skills enforces strict filtering.
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Develop and maintain microservice-based high-performance systems integrating Large Language Models (LLMs) for enterprise use cases.
Design and implement AI-driven NLP solutions involving embeddings, semantic search, and text classification within existing API-driven platforms.
Ensure scalability, stability, and performance of AI-powered systems deployed in enterprise environments.
Minimum 3 years of experience in Java, Spring, and SpringBoot development.
Bachelor's degree in Computer Science or related field, or relevant experience.
Experience with relational (MySQL, Oracle) and non-relational databases (MongoDB, Elasticsearch).
Experience working with Large Language Models (GPT, LLaMA, or similar) including fine-tuning and prompt engineering.
Experienced in building and deploying scalable, stable microservice architectures in enterprise settings.
Proficient in integrating LLM-powered NLP functionalities such as semantic search and text classification into production systems.
Able to mentor engineers and lead adoption of Agile, CI/CD, and test-driven development methodologies.