Senior Java Developer - AI/NLP Solutions

Charles River Development (CRD) is the FinTech division of State Street. Together with State Street’s Middle and Back Office services, Charles River’s cloud-based Front Office technology forms the foundation of the State Street Alpha Platform, the first front-to-back solution in the industry. Our vision is to be the world’s leading investment platform, shaping the future of the industry and driving new levels of technology-led innovation, resiliency, efficiency, and growth for investors and the people they serve. The CRD Engineering organization is transforming the platform by moving from monolithic software toward modern cloud-based technologies, including Microsoft Azure, Kafka, and Snowflake. We continue to expand the use of artificial intelligence, machine learning, and natural language processing across our engineering solutions. As a digital innovation leader, we invest into our solutions, processes, systems, and talent.

As a Senior Java Developer, you will design, develop, and maintain scalable enterprise applications within an agile engineering team. You will combine strong Java and backend engineering skills with a practical understanding of machine learning, natural language processing, and Large Language Models to help build reliable, secure, and maintainable AI-enabled solutions.

Analyze, design, develop, test, and maintain complex enterprise software using Java and related technologies. Design scalable backend services and contribute to the evolution of core application frameworks. Integrate machine learning models, Large Language Models, and AI services into enterprise applications. Collaborate with Product Managers, Business Analysts, architects, and engineers to translate business requirements into sustainable technical solutions. Contribute to architectural decisions related to AI integration, data flows, validation, security, observability, and operational support. Apply engineering best practices to AI-enabled functionality, including automated testing, output validation, performance monitoring, auditability, and human oversight. Provide informed technical guidance during design discussions and code reviews. Troubleshoot complex technical issues in mission-critical client environments. Mentor junior engineers and contribute to the continuous improvement of engineering practices.

Recommended Education B.S. or M.S. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or another relevant technical field.

At least five years of experience across the full software development lifecycle for enterprise Java applications. Strong knowledge of core Java, Spring Boot, REST APIs, microservices, relational databases, and distributed systems using technologies such as Kafka. Good understanding of machine learning and NLP fundamentals, including classification, model evaluation, tokenization, embeddings, semantic similarity, and information extraction. Good understanding of LLM and Transformer fundamentals, including prompting, context handling, structured outputs, retrieval-augmented generation, model limitations, and integration of AI capabilities into backend applications. Strong problem-solving and communication skills, with the ability to collaborate effectively across technical and business teams.

Experience with Kubernetes and cloud platforms such as Microsoft Azure. Familiarity with vector search, embeddings, retrieval-augmented generation, and document-processing solutions. Familiarity with Python, ML or NLP libraries, and model deployment or monitoring practices. Understanding of responsible AI, data privacy, explainability, and human-in-the-loop workflows. Experience developing software in regulated or data-sensitive environments. Minimum Salary: ​ zł182 004 Annual The minimum salary quoted above applies to the role in the primary location specified. If the