AI Fullstack Developer

We don't have the fame, but we've got the flame. We are a distributed group of specialists within NTT DATA Romania, who make the best out of JVM-based technologies, creativity and business solutions. Referred to as Java Competence Center, we co-create and co-accelerate with key players in any field. Without being limited to any business unit, we demonstrated our deep Java development expertise by delivering SaaS platforms in various domains: Web Applications in e-Commerce, Automotive, Telco, Insurance, Banking and Public sector, even Big Data and scientific applications.

We are looking for candidates to join a strategic project within the financial sector, focused on building and enhancing digital solutions for tax compliance and appeals management.

What You'll Be Doing

Development of microservices and integration with the existing platform
Implement a Java application using Spring Boot on backend side and Angular on frontend side, ensuring seamless compatibility, scalability, and fault tolerance
Implement data models, APIs, and microservices to integrate with existing systems and databases, enabling seamless data exchange and real-time updates
Develop algorithms and implement forecasting models to predict production volumes based on historical data, market demand, and other relevant factors
Create intuitive user interfaces to facilitate data input, visualization, and analysis, enabling production planners to make informed decisions
Collaborate with the testing team to ensure proper functionality, performance, and reliability of the application, conducting thorough unit and integration testing
Optimize application performance by identifying and resolving bottlenecks, fine-tuning code, and implementing caching mechanisms where applicable
Document the development process, including design decisions, technical specifications, and user guides, to ensure knowledge transfer and facilitate future maintenance
Contribute to the integration of Generative AI capabilities (e.g., ChatGPT-based solutions) into enterprise applications
Support LLM fine-tuning and prompt engineering activities to enhance domain-specific use cases (e.g., automation of business processes, document generation)
Collaborate on the design and implementation of AI-driven features to improve data processing, decision-making, and user interaction
Implement and maintain CI/CD pipelines using GitHub Actions, ensuring efficient and automated build, test, and deployment processes
Work with modern development tools and environments (e.g., Java/Spring Boot ecosystem, cloud-native and containerized setups)

What You'll Bring Along

A University degree or advanced diploma in a software engineering-related discipline, preferably in Computer Science, or equivalent experience
At least 5 years of experience in a similar position
Strong application development experience with Java and Spring Boot
Experience with frontend-related frameworks and tools such as Angular
Hands-on experience or strong interest in LLMs (e.g., ChatGPT), prompt engineering, or model fine-tuning is considered a strong advantage
Basic to solid understanding of Generative AI concepts (GenAI fundamentals)
Solid experience with microservices architecture
Experience with unit testing and test automation
Working experience with Maven or similar build tools
Experience with messaging technologies (RabbitMQ, Kafka)
Familiarity with Docker, Kubernetes, or other containerization frameworks
Experience with Shell scripting and Git
Working experience with databases: Oracle, PostgreSQL, MongoDB
Familiarity with build and deployment automation, including GitHub Actions
Exposure to cloud-based systems is a plus
Excellent verbal and written communication skills in English
Nice to have: good written and understanding skills in German

AI Fullstack Developer

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