Action1
51 - 200 employees
Founded 2018
☁️ SaaS
🔒 Cybersecurity
🏢 Enterprise
SaaS • Cybersecurity • Enterprise
Action1 is a cloud-native autonomous endpoint management platform that automates cross-OS (Windows, macOS) and third‑party application patching, vulnerability detection and remediation, and remote software deployment across distributed networks without requiring VPN or domain join. The platform provides continuous patch compliance and reporting (PCI, HIPAA, SOC 2, CIS, etc. ), MSP/MSSP-focused services, APIs and PowerShell automation, and real-time scalability for enterprise environments to reduce cyber risk and operational costs.
Applied AI Engineer
🕒 May 28
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Action1
51 - 200 employees
Founded 2018
☁️ SaaS
🔒 Cybersecurity
🏢 Enterprise
SaaS • Cybersecurity • Enterprise
Action1 is a cloud-native autonomous endpoint management platform that automates cross-OS (Windows, macOS) and third‑party application patching, vulnerability detection and remediation, and remote software deployment across distributed networks without requiring VPN or domain join. The platform provides continuous patch compliance and reporting (PCI, HIPAA, SOC 2, CIS, etc. ), MSP/MSSP-focused services, APIs and PowerShell automation, and real-time scalability for enterprise environments to reduce cyber risk and operational costs.
📋 Description
• Build and operate LLM-powered internal solutions, tools, and automations end-to-end • Ship customer-facing AI features • Drive technical decisions from design through production rollout • Own systems in production, including monitoring, reliability improvements, and incident response participation • Build and maintain LLM evaluation workflows, including quality/safety checks, baselines, and regression detection • Partner with R&D, product, and security teams • Evaluate emerging AI technologies and patterns, and advocate adoption when justified
🎯 Requirements
• Strong software engineering fundamentals with hands-on ownership of production systems; Python required • Solid LLM application development experience, including context design, structured outputs, and orchestration • Hands-on experience with LLM evaluations, including experiment design, regression detection, gating, and observability • Experience building and operating backend services/APIs in production • Experience designing multi-service architectures and reliable integrations, including stable service contracts, retries, and failure recovery • Working knowledge of operating production databases, including schema design, indexing, migrations, and backup/restore • Hands-on experience with containerized workloads • Ability to balance output quality, latency, and cost in production AI systems • Nice to have: Experience with agentic systems or RAG, including evaluation • Nice to have: Experience building lightweight user interfaces • Nice to have: Experience shipping high-adoption internal developer or operations tooling • Nice to have: JavaScript/TypeScript • Nice to have: AWS deployment and operations experience • Nice to have: Experience with runtime isolation and sandboxing for sensitive execution • Nice to have: Experience in B2B SaaS, security, compliance, or data governance contexts
🏖️ Benefits
• Fully remote work, giving you the flexibility you need in the modern world • A collaborative environment encouraging you to own your domain and implement best practices • Stable income, benefits, flexible working hours, and opportunities for promotion. • Friendly and professional peers, eager to help and help you grow. • A multitude of interesting challenges and opportunities.
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