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# LLM Application Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Distributed Systems, JSON, Machine Learning, Natural Language Processing, NoSQL, Standard Sql, Google Cloud, Chatbots, Spring Cloud, Delivery Pipeline, Large Language Models, Spring-boot, Event Driven Architecture, Kubernetes, HuggingFace, Apache Kafka, Restful APIs, Docker, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3b43aaa6eb3f6bed

## About the Role

* Strong experience in Java (8/11/17+) and Spring Boot / Spring Cloud
 * Hands-on experience with Microservices Architecture
 * Solid experience with Apache Kafka (producers, consumers, streams)
 * Experience working with LLMs / AI technologies (OpenAI, Hugging Face, LangChain, etc.)
 * Strong understanding of REST APIs, JSON, and distributed systems
 * Experience with Docker / Kubernetes and cloud platforms (AWS, Azure, or Google Cloud Platform)
 * Good knowledge of SQL / NoSQL databases

## Description

We are seeking a highly skilled Java developer with experience in building scalable distributed systems and integrating AI/LLM-driven solutions . The ideal candidate will have strong expertise in Java, microservices architecture, and Apache Kafka , along with exposure to Large Language Models (LLMs) and modern AI frameworks., * Design, develop, and maintain scalable microservices using Java (Spring Boot).

 * Build and manage event-driven architectures using Apache Kafka .
 * Develop and integrate AI/LLM-based features into applications (e.g., chatbots, automation, NLP use cases).
 * Collaborate with data science and AI teams to deploy and optimize machine learning models and LLM APIs .
 * Ensure high performance, reliability, and scalability of backend services.
 * Implement RESTful APIs and support system integrations.
 * Participate in code reviews, testing, and deployment pipelines (CI/CD) .
 * Troubleshoot and resolve production issues in distributed environments.


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