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У роли понятный full-stack охват, современные инженерные практики и реальная возможность перейти к AI-задачам, но зарплата и некоторые детали работы команды не указаны.
Современные технологии
Рост в AI
Зрелый продукт
?Широкий охват
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer (.NET/AI): Building scalable backend and frontend components, AI agent features, LLM integrations, real-time conversation systems, and document processing pipelines with an accent on .NET, Vue/TypeScript, AWS, and modern AI technologies. Focus on integrating multiple LLM providers, implementing WebSocket/SSE streaming, optimizing PostgreSQL systems, and developing vector database and RAG solutions.
Location: Bucharest, Romania — hybrid
Company
hirify.global provides cloud delivery management SaaS for shipment and returns processing across 190 countries, serving e-commerce, retail, manufacturing, and 3PL customers.
What you will do
Build and maintain scalable, secure .NET backend services and responsive Vue/TypeScript applications.
Implement AI agent features and LLM integrations with Anthropic Claude, OpenAI, and AWS Bedrock.
Develop real-time streaming conversation systems using WebSocket and SSE.
Create document ingestion and processing pipelines, including work with OCR.
Work with vector databases and RAG patterns while contributing to architecture and technical decisions.
Collaborate with product managers and engineers, participate in code reviews, and own features from design through deployment.
Requirements
5+ years of professional software engineering experience, including a proven record of building and maintaining production systems.
Strong hands-on experience with .NET and solid AWS knowledge.
Proficiency with Vue and TypeScript, RESTful APIs, WebSockets, and streaming responses.
Experience with PostgreSQL, SQL optimization, API design, database optimization, and system architecture.
Strong debugging, problem-solving, ownership, learning, and collaboration skills.
Written and spoken English proficiency is essential.
BS degree in Computer Science or a related field.
Nice to have
Experience with LLMs, AI agent frameworks such as LangChain, vector databases, pgvector, OpenSearch, document processing, OCR, or real-time data processing.
Experience with AWS Bedrock, S3, or EKS.
Culture & Benefits
Hands-on learning in AI/LLM technologies and agentic systems.
Ownership of features and technical decisions with opportunities to develop toward an AI platform specialist role.
Modern development practices including dev containers, automated testing, GitOps, Docker, and CI/CD.
Collaborative environment with knowledge sharing, mentoring, and technical education.
Work on meaningful AI-powered products with real-world customer impact.
Inclusive, equal-opportunity workplace.
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