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Понятная зона ответственности senior-инженера, работа с AI-продуктами в production и один проект за раз делают вакансию привлекательной, хотя широкий технический охват и работа на клиентов могут добавлять разноплановых задач.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (AI): Building enterprise-grade AI-powered software solutions for large clients across backend, databases, cloud infrastructure, and DevOps with an accent on architecture, scalability, and production readiness. Focus on integrating AI capabilities, making technical decisions across the software lifecycle, and solving complex client-facing engineering challenges.
Location: Belgrade, Serbia (Remote)
Company
hirify.global develops enterprise-level, AI-powered software solutions for large clients through cross-functional engineering pods.
What you will do
Design and develop enterprise-grade AI-powered software solutions for large clients.
Design and implement solutions across backend, databases, cloud infrastructure, and DevOps, primarily with .NET or Python.
Integrate AI capabilities into scalable, maintainable, secure, production-ready applications.
Work directly with clients to understand needs, explain trade-offs, provide guidance, and challenge assumptions.
Work independently within a cross-functional pod, prioritizing effectively, communicating clearly, and taking ownership of outcomes.
Requirements
Bachelor’s or Master’s degree or higher in Software Engineering, Computer Science, Artificial Intelligence, or a related technical field.
Strong professional experience as a Software Engineer with significant technical depth.
Expert-level proficiency in .NET or Python.
Strong understanding of software architecture and the ability to design systems beyond individual components.
Experience with databases, cloud infrastructure, and DevOps.
Working understanding of frontend development.
Experience using AI tools in everyday development workflows.
Ability to work independently, take ownership of technical outcomes, make decisions in ambiguous situations, prioritize effectively, and defend technical judgment.
Strong communication and collaboration skills, including direct client work; fluency in English is required.
Nice to have
Experience building and operating AI-powered solutions in production, especially in enterprise environments.
Experience with LLMs, AI agents, RAG, AI integrations, or other modern AI application patterns.
Experience designing cloud-native architectures and working across the full software lifecycle through production operations.
Experience with React and modern frontend development.
Experience in consulting, client-facing engineering, or similarly collaborative environments.
Experience with Java or Node.js.
Culture & Benefits
One project at a time, with no context switching and long-term client collaboration.
Remote work with the option to work from home, elsewhere, or in the office.
Flexible working hours without time tracking.
Indefinite employment contracts; B2B collaboration is also available.
Regular feedback, education opportunities, and support for AI and cloud courses or conferences.
Monthly knowledge-sharing sessions, weekly talks, brainstorming sessions, and referral fees.
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