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У роли понятный фокус на Java-бэкенде и практической работе с LLM, а стек подробно описан; при этом консалтинговая модель и B2B-контракт оставляют меньше ясности по стабильности проектов и условиям занятости.
?Работа на проектах
Актуальный стек
Практика с ИИ
?B2B-контракт
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Middle Java Developer (AI) (Java/Spring/LLM): Building and evolving enterprise applications and reliable backend services while integrating LLM-powered features into production products with an accent on maintainable architecture, APIs, databases, messaging, and cloud infrastructure. Focus on designing microservices, validating AI-generated code, integrating LLM services, and owning features from implementation through release.
Location: European Union; the role includes office-related benefits and is offered as a B2B engagement.
Company
hirify.global is a software development and consulting company delivering technology solutions to clients across North America and Europe, including backend development, data science, fintech, artificial intelligence, and blockchain.
What you will do
Build and evolve enterprise applications and maintainable backend services.
Design and integrate REST APIs and synchronous or asynchronous service communication.
Integrate LLM-powered features into real applications using services such as OpenAI, AWS Bedrock, or Google Gemini.
Own features from implementation through release and maintain long-lived enterprise codebases.
Use AI coding assistants daily, critically reviewing and validating generated code.
Requirements
3+ years of commercial software development experience with Java.
Strong knowledge of Java 17+, Spring Boot, Spring Data, and Maven or Gradle.
Experience with microservices, modular or hexagonal architecture, REST APIs, SQL, PostgreSQL, JPA, and Hibernate.
Experience with Kafka or another message broker, including synchronous and asynchronous communication.
Experience writing unit, integration, and API tests with JUnit, Mockito, and supporting tools.
Proficiency with Git, code review workflows, CI/CD pipelines, Docker, and Kubernetes.
Experience with AWS or another cloud platform and understanding of logging, metrics, and distributed tracing.
Ability to independently handle medium- to high-complexity tasks, own feature delivery, and maintain long-lived enterprise codebases.
Hands-on experience integrating LLMs into real applications and English proficiency at B2 level or higher.
Nice to have
Experience with Kotlin, React, TypeScript, or Angular.
Experience with RAG, embeddings, vector search, structured outputs, tool or function calling, and context management.
Familiarity with pgvector, Qdrant, Weaviate, Pinecone, Elasticsearch, LangChain, or LangGraph.
Production experience operating LLM applications, including latency, token costs, rate limits, retries, caching, hallucinations, and prompt-injection risks.
Knowledge of LLM security, evaluation, quality monitoring, guardrails, content filtering, moderation, and abuse protection.
Ability to take broader ownership of task breakdown, estimation, implementation, and release.
Culture & Benefits
Full-time workload with a B2B contract.
Three sick days per year and medical insurance.
Food and commuting compensation, English classes, and an All Sports program.
Active developer community with regular meetings and opportunities to grow as a technical mentor or manager.
Office near Petrovshchina metro station, with team-building events, corporate activities, sports competitions, and games.
Employee discounts, snacks and drinks, and a recreation room with PlayStation 5, Xbox, and board games.
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