Senior Java Developer – AI/NLP Solutions

State Street

. Analyze, design, develop, test, and maintain complex enterprise software using Java and related technologies .

Posted 9/18/2026full-timeGdansk • PolandSenior💰 PLN 182,004 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Java application development, AI integration, and machine learning fundamentals, with a strong focus on scalable backend services and architectural decision-making. Proven ability to mentor engineers and apply engineering best practices in complex enterprise environments.

Highest-signal resume keywords

Java Application DevelopmentSpring BootMachine Learning FundamentalsKubernetesCloud Platforms

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Hard Skills

Core JavaREST APIsMicroservicesRelational DatabasesKafkaNLP FundamentalsLLM FundamentalsPythonModel DeploymentAutomated Testing

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

Microsoft AzureDocument-Processing SolutionsVector Search

Industry Keywords

Enterprise SoftwareData PrivacyResponsible AIHuman-in-the-Loop WorkflowsRegulated Environments

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsJavaKafkaKubernetesMicroservicesPythonSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Permanent contract from day one
Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
Gold Medical Package for employees and their families (partner and children)
Premium life insurance package and private pension plan
Wide range of soft skills training, technical workshops, language classes and development programs
Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
Variety of well-being programs
Additional benefits available depending on the seniority of the role
Discretionary annual performance-based awards
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks