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Senior AI Engineer

Ideals
CompanyIdeals
CategoryEngineering
LocationUkraine
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted10 Jul 2026
Last verified2 Aug 2026
SourceEmployer career page (ashby)
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Description
GET TO KNOW US Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand https://www.g2.com/categories/virtual-data-room?tab=highest_rated in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours. Ideals Virtual Data Room (VDR) https://www.idealsvdr.com/: Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions. Ideals Board https://idealsboard.com/: Board and leadership collaboration platform for faster, safer, and more compliant decision-making. After 18 years in the market, we power more than 10% of global M&A activity, grow at 30%+ YoY, and are now scaling 5x globally to disrupt the VDR category and reach unicorn status by 2029. THE ROLE We are looking for a Senior Revenue Systems AI Engineer to design, build, and operationalize AI-enabled automations and agent-driven workflows across our Revenue Systems, while strengthening CRM systems ownership, integrations, and process scalability across GTM operations. You'll support the Revenue Systems Engineering team's shift toward an automation-first operating model, replacing manual, ticket-driven work with agent-executed workflows, without breaking what already works. You'll have real influence over how AI gets embedded into revenue operations at Ideals, from evaluating what should be automated to defining the guardrails that keep automation safe and auditable. You'll work independently on regular end-to-end solutions where business processes and ownership boundaries are already defined, making implementation decisions within established architecture and standards, while looking for ways to improve existing processes. This is a fully remote role open to candidates based in Ukraine. WHAT YOU WILL DO - Build and maintain AI-assisted automations and agent workflows (primarily in n8n) - Define orchestration logic, prompts/instructions, fallback paths, and documentation for agent-executed tasks - Evaluate which Revenue Systems processes are realistically automatable vs. human-owned - Design and implement integrations between HubSpot, internal systems, and external tools required for AI-enabled workflows - Improve and maintain CRM process logic, ownership/routing logic, and related workflow automation - Support technical investigations, automation QA, and production stabilization for newly introduced AI/agent flows - Partner cross-functionally to align business rules, controls, and expected outputs for automated processes - Contribute to future-state architecture and process hardening across Revenue Systems WHAT YOU BRING - 4+ years of experience in revenue systems, CRM engineering, business systems, automation engineering, integrations, or technical operations - Usage of AI tools (Claude, ChatGPT, Gemini) as a primary way to build - accelerating workflow and code development - while critically validating, debugging, and explaining AI-generated code and SQL rather than taking it at face value - Practical, hands-on experience designing and building production-grade AI/LLM workflows and agentic orchestration - Expert SQL skills: advanced query design (CTEs, window functions), performance and cost optimization at scale, parsing semi-structured/JSON data, and building validation/reconciliation checks to prove output correctness - Strong architectural background in platform selection, configuring scalable object/association logic, and preventing workflow conflicts across connected business systems - Advanced analytical and systems thinking, with the ability to dive deep into complex datasets, draw accurate conclusions, identify causal links, and think beyond immediately available facts to build long-term solutions - Strong En
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