
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
wingmaite is an AI-powered knowledge management SaaS that captures, structures and preserves undocumented institutional expertise through natural-language chat and guided prompts. Targeted at mid-sized companies, private equity portfolios and succession processes, it makes tacit know-how instantly searchable, routes unanswered questions to experts to close gaps, and builds a self-learning corporate knowledge base. The platform emphasizes German data residency, GDPR compliance, OAuth SSO and enterprise-grade security to protect sensitive business information.
🔥 10 minutes ago
Where this job comes from
Posted on wingmaite's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago

11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
wingmaite is an AI-powered knowledge management SaaS that captures, structures and preserves undocumented institutional expertise through natural-language chat and guided prompts. Targeted at mid-sized companies, private equity portfolios and succession processes, it makes tacit know-how instantly searchable, routes unanswered questions to experts to close gaps, and builds a self-learning corporate knowledge base. The platform emphasizes German data residency, GDPR compliance, OAuth SSO and enterprise-grade security to protect sensitive business information.
• Design agents that plan, use tools, handle multi-step work, and determine where people need to step in • Build reusable components for new use cases • Connect agents to company knowledge and work with stakeholders to define what that knowledge should contain • Improve answer reliability, source citation, access control, and safe non-action decisions • Build evaluations and monitor quality and cost • Keep model choices up to date • Ship features end to end from the agent through to the backend • Set architectural patterns, document decisions, maintain current specifications, and review designs with engineering, product, and design • Collaborate as one team across design, product, engineering, and AI from initial problem definition through production • Work closely with the CTO as a technical sparring partner
• You've shipped multi-step, tool-using LLM agents to production (LangGraph or similar) • You know when sub-agents help, how to build good evals, and why retrieval fails • Fluent in Python and productive in TypeScript/Node (NestJS is a plus) • PostgreSQL and data modeling • You use AI coding tools such as Claude Code every day • You write clear specs and can explain trade-offs to people who aren't engineers • Fluent English (C1–C2) • Nice-to-have: You've connected agents to tools and data through MCP • Nice-to-have: You've worked with knowledge graphs or other ways of modeling how people, work and information relate • Nice-to-have: You've run models in production on AWS Bedrock or Vertex AI • Nice-to-have: You've traced and debugged agents with LLM observability tools such as Langfuse • Nice-to-have: You speak German • You've set technical direction beyond your own work, and others build on your patterns • You start from what users need and what could go wrong, then choose the tools • You care whether the system still makes sense in a year • You're happy to do backend work when a feature needs it • You want influence through your work, not through a title • You like working with designers and product people • You enjoy technical debate and change your mind when the other argument is better
• Permanent employment • 40 hours/week • 30 days of annual leave • Flexible remote setup • Learning & development opportunities • Generous vacation & workation budget • Technical ownership of the platform at the core of wingmaite's product
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