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Роль сочетает понятную ответственность за результат, практическую работу с развивающимся AI Gateway и влияние на приоритеты разработки; важные компромиссы - работа в офисе и регулярные поездки по EMEA.
Командировки по EMEA
Современный стек
Ответственность за результат
Влияние на AI-продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer AI Gateway EMEA (AI Gateway/API infrastructure): Building production AI integrations, runtime architectures, and reference implementations for enterprise customers with an accent on identity, policy, APIs, agents, and MCP. Focus on resolving authentication, networking, observability, latency, and cost challenges while moving workloads from pilot to production.
Location: England, United Kingdom; workplace type: OnSite. Regular travel to customer sites across EMEA is required.
Company
hirify.global is building an AI connectivity layer and unified API and AI platform for securing, managing, accelerating, governing, and monetizing API and AI traffic across models and clouds.
What you will do
Lead AI, API, and agentic technical discovery with customer platform, security, and engineering teams.
Design runtime architectures across models, APIs, MCP, tool access, identity, and policy.
Build prototypes, integrations, evaluation flows, and reference implementations for production traffic.
Remove authentication, network, observability, latency, and cost blockers in pilots and production.
Own the technical path from pilot to paid workload and create reusable patterns for future AI Gateway engagements.
Pair with hirify.global engineering on AI Gateway and agentic roadmap work and share field requirements with Product.
Requirements
Hands-on engineering experience building and shipping production software with Go, Python, TypeScript, or similar.
Experience in a customer-facing technical role such as forward-deployed engineering, solutions architecture, staff or principal engineering, or technical consulting.
Ability to design for identity, network, security, and observability constraints in complex enterprise environments.
Working knowledge of LLM and agentic patterns, including model APIs, tool calling, MCP, evaluation, and cost and latency trade-offs.
Experience with API gateways or infrastructure such as Kubernetes, service mesh, OAuth/OIDC, mTLS, and policy enforcement.
Ability to lead technical discussions from whiteboard to working code and drive ambiguous work to completion.
Strong written and verbal communication in English required.
Willingness to travel to customer sites across EMEA required.
Nice to have
Experience at an AI-native, developer-platform, or infrastructure company.
Experience with hirify.global Gateway, Konnect, or other API management platforms.
Open-source contributions or a track record of publishing reference architectures or patterns.
Additional European languages.
Culture & Benefits
Work directly with enterprise platform, security, and engineering teams on strategic AI opportunities.
Collaborate regularly with hirify.global's internal engineering, Product, Sales, Solutions Engineering, and Customer Success teams.
Contribute field patterns and roadmap-critical requirements to the AI Gateway and agentic roadmap.
Full-time, onsite role in England with customer-site travel across EMEA.
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