About Docufy AIDocufy AI is an AI-native document intelligence platform transforming how enterprises understand, automate, and manage complex documents. We leverage Large Language Models, agentic AI, retrieval systems, and intelligent workflows to help organizations accelerate operations while maintaining enterprise-grade security and compliance.Our founding team has deep experience building enterprise software and AI products. We're backed by experienced operators and are actively scaling our platform, customers, and engineering organization.The OpportunityWe're looking for a Founding Engineering Lead for the technical evolution of Docufy AI. This is not a traditional management role. You'll be the senior engineering leader responsible for architecture, product execution, AI platform development, and building a world‐class engineering organization alongside the founders.Initially, you'll spend the majority of your time writing code, designing systems, reviewing architecture, and mentoring engineers. Over time, you'll hire and scale the engineering team as the company grows.What You'll OwnOwn the overall technical architecture and engineering roadmap.Lead development of AI‐powered document intelligence products.Design scalable cloud‐native infrastructure and backend systems.Build reliable LLM pipelines, agentic workflows, RAG, and orchestration services.Improve platform reliability, security, observability, and performance.Partner closely with Product, Design, and Customer Success.Recruit, mentor, and grow a high‐performing engineering team.Establish engineering best practices, development standards, CI/CD, testing, and release processes.Support enterprise customer implementations and technical due diligence during fundraising.RequirementsTechnical ExperienceWe're looking for someone with experience across many of the following:AI & Machine LearningLarge Language Models (OpenAI, Anthropic, Gemini,



open‐source models)Agentic AI systemsRetrieval‐Augmented Generation (RAG)Vector databasesPrompt engineeringEvaluation frameworksAI observabilityModel orchestration frameworks (LangGraph, LangChain, LlamaIndex, etc.)Backend EngineeringPythonFastAPI or similar frameworksREST APIsEvent‐driven architecturesDistributed systemsPostgreSQLRedisBackground job processingCloud & InfrastructureAWS & GCPDockerKubernetes (preferred)Terraform (nice to have)CI/CD pipelinesMonitoring and loggingSecurity best practicesLeadership ExperienceBuilt and shipped production software at startup speedLed technical architecture decisionsWorked closely with foundersMentored engineers or technical teamsBalanced product velocity with engineering qualityStrong communication skills with both technical and non‐technical stakeholdersExperience hiring and scaling engineering teams is highly desirable.Nice to HaveEnterprise SaaS & PaaS experienceExperience with document processing or intelligent automationOCR, search, or knowledge management platformsFinancial Services, Legal, Insurance, Retail Industry experienceStartup experience from Seed through Series A/BWhat Success Looks LikeWithin your first 90 days, you'll:Become the technical owner of the platformUnderstand the existing architecture and roadmapShip meaningful product improvementsImprove engineering velocity and release processesHelp define the next‐generation AI platform architectureWithin your first year, you'll:Scale the engineering organizationLead technical hiringImprove platform reliability and performanceDeliver enterprise‐grade AI capabilitiesBecome a key technical leader for customers, investors, and strategic partnersWhy Join UsFounding engineering leadership roleSignificant equity opportunityBuild cutting‐edge AI products from the ground upWork alongside experienced founders in AI, cloud, and enterprise technologyInfluence product, technology, and company strategy from day oneOpportunity to shape the future of enterprise document intelligenceIf you're excited about building AI products, leading engineering, and creating category‐defining technology, we'd love to hear from you. #J-18808-Ljbffr

📌 Ai Mobile Engineer- Android (Toronto)
🏢 Karbon Digital
📍 Toronto