Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает senior-разработку продукта с практическими AI-функциями и современным стеком, но зарплата не указана, а в подробном описании есть ошибки форматирования и редактуры, из-за которых часть обязанностей сложнее оценить.
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Сбои в текстеЗарплата не указанаАктуальный стекВлияние на продуктПоддержка развития
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineers (C#/.NET) (AI-powered SaaS): Building backend-heavy features and AI-powered product capabilities for asset integrity management software with an accent on scalable architecture, robust LLM integrations, and production-ready engineering. Focus on designing intelligent workflows, integrating AI services, and solving latency, cost, reliability, and hallucination challenges in industrial environments.
Location: Hybrid in Croatia, with working locations in Zagreb or Pula
Company
hirify.global builds asset integrity management SaaS used by global leaders in oil and gas, chemicals, and energy.
What you will do
Design, build, test, and ship backend-heavy features across the SaaS platform.
Write maintainable C#/.NET code and contribute to architecture and design decisions.
Translate business requirements into technical implementations with Product and Design.
Build and integrate AI-powered capabilities, including LLM integrations, intelligent workflows, and data-driven features.
Bring AI services into production with robust observability and reliability.
Use AI coding tools such as GitHub Copilot, Cursor, Claude Code, or Codex, and share effective practices with the engineering team.
Requirements
7+ years of professional software engineering experience in a SaaS or enterprise product environment.
Strong backend engineering experience with C#/.NET.
Knowledge of clean code, SOLID principles, architectural patterns, and API design.
Experience with relational databases and cloud infrastructure such as Azure, AWS, or GCP.
Familiarity with CI/CD, Docker, Kubernetes, code reviews, and collaborative engineering practices.
Experience shipping AI-powered features using LLMs, embeddings, agents, or similar technologies, including an understanding of latency, cost, reliability, and hallucination trade-offs.
Nice to have
Experience with prompt engineering, RAG patterns, or OpenAI and Azure OpenAI integrations.
Knowledge of oil and gas, industrial, or asset-intensive domains.
Full-stack experience with React or similar frontend frameworks.
Experience with multi-tenant SaaS platforms, complex data models, or domain-driven design.
Culture & Benefits
Work on software used in safety-critical industries.
Flexible working arrangements suited to the role.
Competitive compensation, additional perks, and high-quality equipment.
Continuous learning and investment in professional growth.
Team-selected activities and a collaborative, engaged working environment.
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