TL;DR
Engineering Manager (AI): Leading the GenAI Platform Development Experience team, focusing on building core AI platform components like model inference, knowledge bases, agents/tools, and guardrails. With an accent on SDLC around AI artifacts (evaluation, benchmarking, versioning, deploy) and cost management. Focus on growing and coaching cloud engineers, driving production readiness, and shaping the AI platform roadmap for next-gen AI products.
Location: Hybrid (Bucharest, Romania)
Company
hirify.global is a global leader in cybersecurity, redefining modern security with an advanced AI-native platform that processes almost 3 trillion events per day.
What you will do
- Lead the GenAI Platform Development Experience team, owning planning and execution and growing a high-caliber group of cloud engineers.
- Boost company productivity by developing and promoting GenAI tools, coding assistants, and automated workflows.
- Refine the GenAI Platform through deep insights by developing and leveraging analytics to increase adoption and understanding of usage patterns.
- Provide technical oversight, reviewing designs, defining architecture and APIs, and contributing code when needed to unblock progress.
- Act as a product manager for selected platform capabilities, translating business requirements into problem statements and driving prioritization.
- Run core processes end-to-end, including on-call rotation, incident response, customer support triage, and active bug management.
Requirements
- 8+ years in software engineering and 2+ years as an engineering manager (or exceptional tech/team leads with informal people-leadership experience).
- Technical bar at senior-engineer level, able to understand, drive, and design complex distributed systems and comfortable with code reviews and prototypes.
- Experience building and operating shared services or platforms used by many teams (multi-tenant concerns, contracts/SDKs, permissions).
- Proven delivery at scale, having shipped and operated large, real-world systems at meaningful scale with strong on-call and postmortem habits.
- Cloud-native execution experience with containers/Kubernetes and at least one major cloud (AWS, GCP).
- Excellent written and verbal communication and flexibility to accommodate meetings with partners across the globe.
Nice to have
- GenAI production exposure: LLM serving, RAG, guardrails/safety, evaluation frameworks, and cost/latency tuning.
- Familiarity with GenAI tooling frameworks like LangChain, LlamaIndex, CrewAI, n8n.
- Understanding of cybersecurity domain knowledge and security operations.
Culture & Benefits
- Market leader in compensation and equity awards with comprehensive physical and mental wellness programs.
- Competitive vacation and holidays, paid parental and adoption leaves.
- Professional development opportunities for all employees.
- Employee Networks, geographic neighborhood groups, and volunteer opportunities.
- Vibrant office culture with world class amenities and a Great Place to Work Certified™ status globally.
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