8 дней назад
Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Deploying and adapting Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments with an accent on enterprise integrations, distributed systems, and production AI reliability. Focus on integrating APIs and internal data sources, debugging infrastructure and AI application layers, and building reusable deployment tooling and observability.
Location: Remote
Company
develops AI research and enterprise AI solutions, including Hermes Agent Enterprise.
What you will do
- Deploy and adapt Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments.
- Integrate enterprise APIs, internal data sources, authentication systems, and business applications into agent workflows.
- Partner with enterprise customers to scope requirements, implement solutions, and iterate based on feedback.
- Debug production issues across infrastructure, orchestration, integrations, and AI application layers.
- Build reusable deployment patterns, tooling, monitoring, and operational practices for reliable production AI systems.
- Document deployment architectures and integration patterns while influencing product direction with engineering and research teams.
Requirements
- 5+ years of software engineering or solutions engineering experience building and deploying production systems.
- Experience working directly with enterprise customers or cross-functional stakeholders to deliver technical solutions.
- Strong debugging skills across distributed systems, backend services, and cloud infrastructure.
- Ability to work across backend engineering, infrastructure, APIs, and AI application layers.
- Excellent communication skills for translating complex technical concepts into practical customer solutions.
- Entrepreneurial mindset and comfort working in fast-moving, ambiguous environments.
Nice to have
- Experience with Docker, Kubernetes, and modern cloud infrastructure.
- Familiarity with LLMs, AI agents, RAG systems, or model orchestration frameworks.
- Experience integrating CRMs, data warehouses, internal APIs, or identity providers.
- Experience shipping customer-facing technical solutions in enterprise or infrastructure-focused environments.
Culture & Benefits
- Remote full-time work.
- Direct collaboration with enterprise customers, engineering teams, and AI research teams.
- Opportunity to solve ambiguous technical challenges and deliver production-ready AI solutions.
Hiring process
- Apply by email with the role title in the subject.
- Include a resume or CV, cover letter, and portfolio showcasing relevant work.
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