Senior Java Developer with AI experience

Project description

The team is responsible for building in-house platform between trade process systems, You will be working with highly skilled engineers on WebServices (APIs), Trade processing system, FM FX, Derivatives etc. domain. Micro service and Devops and get to work in modern software development environments and practices. As part of the FMTPT team, you will have an opportunity to contribute to the evolving technical direction of the team as we adapt to this rapidly changing space. As a senior Java developer, you will focus on technical solutions and participate into multiple agile software delivery teams to deliver the business value to the Business. You will understand the different technology silos within the Bank and how to interface with them. You will be part of the team that constantly analyse and improve the Murex Trade processing platform from a technical point of view as well as from user experience view. You'll keep yourself updated with the latest software technologies and sharing the knowledge to team.

Responsibilities

• As a senior developer, you will focus on technical solutions and participate into multiple agile software delivery teams to deliver the business value to the Business. You will understand the different technology silos within the Bank and how to interface with them. You will be part of the team that constantly analyze and improve the business process management platform from a technical point of view as well as from user experience view. You'll keep yourself updated with the latest software technologies and sharing the knowledge to team. Responsibilities： 1. Design and develop core back-end systems based on the Java technology stack, integrate AI models to realize intelligent upgrading of business scenarios, such as intelligent recommendation, data prediction, natural language processing, etc. 2. Independently complete the integrated development of AI models and Java back-end services, including model encapsulation, interface development, data interaction and performance optimization, and ensure system stability and high availability. 3. Participate in project requirement analysis and technical solution review, formulate efficient technology implementation paths and solve technical difficulties by combining Java distributed development experience with AI technology characteristics. 4. Be responsible for the development of system data processing modules, use Python, Pandas and other tools to complete data preprocessing and feature engineering, and provide high-quality data support for AI model training. 5. Continuously track cutting-edge technologies in the Java technology ecosystem and AI field (such as large model applications, deep learning framework optimization), and promote technological innovation and product iteration. 6. Write standardized technical documents, including interface documents, development manuals, technical solutions, etc., and cooperate with the team to complete code review and project delivery.

SKILLS

Must have

• 1. Education & Experience: - Bachelor's degree or above in computer-related majors, 10+ years of Java back-end development experience, with at least 2-3-year Enterprise AI technology implementation project experience. 2. Technical Skills: - Hands-on experience integrating LLM APIs into Java or Python project; Practical knowledge of RAG (Retrieval-Augmented Generation) architecture, including vector search, embedding models; Understanding of vector databases and semantic search technologies. - Understand data organization, data labelling, and vector databases such as Milvus and Redis Stack, familiar with commonly used AI development frameworks and toolchains, such as LangChain4j, Spring AI, and other AI data related technologies. - Master the fundamental theories of AI, be proficient in core machine learning and deep learning algorithms (CNN, RNN, Transformer, etc.), and capable of using frameworks such as Python, TensorFlow, and PyTorch for model development and training. - Have practical experience in integrating Java and AI models, and can independently complete model interface encapsulation, service calling and data flow. - Understand containerization and orchestration technologies such as Docker and K8s and have experience in microservice architecture design and deployment. - Have project experience in large model application development, computer vision (OpenCV/OCR), NLP, etc., familiar with project management methodology, and capable of technical solution writing. - Proficient in Java basics and core features (multi-threading, JVM tuning, collection framework, etc.), skilled in mainstream frameworks such as Spring Boot, Spring Cloud, JPA, and have experience in distributed system development. - Familiar with databases such as MySQL, Redis, MongoDB, good at SQL optimization and cache design, capable of handling massive data scenarios. 3. Professional Qualities: - Have good code specifications and programming habits and can independently complete module development and unit testing. - Skilled in reading English technical documents, with strong problem analysis and solving abilities. - Have excellent team collaboration awareness, and can efficiently communicate and cooperate with product, front-end and algorithm teams.

Nice to have

.CNN、RNN、Transformer