Senior Java Developer - AI/NLP Solutions

Market insights

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

Обязанности: 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. Опыт: 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.

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.