Middle Java Engineer IRC304563

Description

The company operates within the financial services sector, providing essential technology solutions that underpin modern financial operations. It specializes in developing robust platforms and applications designed to enhance efficiency and security for a diverse range of financial institutions. These solutions often involve advanced data processing, secure transaction management, and sophisticated analytical tools. The organization plays a crucial role in enabling its clients to navigate complex regulatory landscapes and deliver superior services to their own customers. Its focus is on leveraging cutting-edge technology to drive innovation and stability across the financial ecosystem.

Requirements

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.
• Understanding the pricing structures and technical differences between Input, Output, and Cache tokens.
• Applying best practices to optimize prompts and context to manage latency and operational costs effectively.

Engineering Fundamentals: Proven ability to implement and consume RESTful APIs securely and efficiently. Strong practical knowledge of Git version control, including branching strategies and standard collaborative workflows.

Job responsibilities

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.

Develop and integrate RESTful APIs for seamless communication between various system modules.

Maintain code quality, perform code reviews, and ensure adherence to best practices in software development.

Troubleshoot and resolve complex technical issues within the Java application stack.

Contribute to the continuous improvement of development processes and tools, including Git workflows.

Develop unit and integration tests to ensure the stability and correctness of implemented features.