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У роли ясный фокус на запуске AI-функций в production и понятный путь роста, но работа в офисе в Праге и формат стартапа могут подойти не всем.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (AI/MCP): Building and shipping production-grade AI features for network assurance, including change assurance, troubleshooting, compliance, and vulnerability detection, with an accent on agentic frameworks, reliability, and operational value. Focus on delivering end-to-end AI capabilities, balancing latency, cost, and availability, and contributing to shared AI infrastructure and production tooling.
Location: Prague
Company
hirify.global is a post-Series B startup developing network automation and network assurance solutions for enterprise customers using verified digital twins of enterprise networks.
What you will do
Build and ship AI features for network assurance use cases, including change assurance, troubleshooting, compliance, and vulnerability detection.
Own assigned AI features from implementation and testing through production deployment.
Use MCP and agentic frameworks to build reliable, production-grade AI capabilities.
Contribute to shared AI infrastructure, engineering patterns, and tooling used across the AI team.
Participate in design discussions and technical reviews, raising trade-offs and risks early.
Propose feature ideas and technical solutions, use AI code-assist tools in daily development, and share learnings with engineering.
Requirements
3–5 years of experience as a software engineer.
Experience building and shipping features end-to-end to production, beyond prototypes or proofs of concept.
Strong software engineering fundamentals, including clean, tested, production-ready code.
Practical experience with MCP or similar AI integration patterns.
Ability to reason about design trade-offs involving latency, cost, reliability, and availability.
Clear communication skills and ability to explain technical choices to engineers and product stakeholders.
Daily hands-on use of AI code-assist tooling in personal development work.
Nice to have
Experience with network-centric, data-heavy, or infrastructure products.
Recent hands-on AI engineering experience, especially building and shipping LLM-based or agentic features to production.
Familiarity with network concepts such as routing, topology, and compliance frameworks.
Exposure to MLOps or production AI operations, including monitoring, cost control, and regression testing.
Interest in progressing toward Staff-level scope.
Culture & Benefits
25 days of holidays plus 5 flexi-days.
Pluxee Flexi Card worth up to 16,000 CZK per year.
Anniversary rewards.
Collaboration with diverse, international teams in a flexible, founder-led startup environment.
Pet-friendly office at IP Pavlova, with snacks, coffee, refreshments, and regular team and company events.
Focus on work-life balance, growth opportunities, and tangible impact on enterprise customers.
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