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Middle Java Engineer IRC304563

Рівень:: middle
Джерело:: djinni.co

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Що робити

Implement robust backend services and APIs using Java and Spring Boot frameworks.
Develop scalable and efficient solutions for integrating Generative AI and LLM capabilities into existing systems.
Build and maintain core components of financial applications, ensuring high performance and reliability.
Enhance existing Java-based microservices to support new features and optimize performance.
Analyze system requirements and technical specifications to design effective software solutions.

Що очікуємо

Enterprise Java Development: 3 to 6 years of professional software engineering experience, focusing on building robust backend systems (experience in the financial sector is highly valued).
Spring Boot & Spring AI: Solid intermediate experience developing and maintaining microservices with Spring Boot. Practical experience utilizing Spring AI to seamlessly connect enterprise Java applications with modern AI models.
Generative AI & LLM Integration: Hands-on experience developing solutions that leverage Large Language Models (LLMs), with specific practical application of Anthropic Claude models for natural language processing and generation tasks.
AI Rate Limits & Token Economics: A solid understanding of LLM operational mechanics and cost awareness, including:
The ability to develop and handle API workflows within RPM (Requests Per Minute) and TPM (Tokens Per Minute) constraints.

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