17 Aug
|
Karbon Digital
|
Toronto
17 Aug
Karbon Digital
Toronto
Docufy 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.
About
Docufy AI Docufy 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. We're looking for a Founding Engineering Lead for the technical evolution of Docufy AI. 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. Own the overall technical architecture and engineering roadmap.
Lead development of AI‑powered document intelligence products. 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.
Technical
Experience AI & Machine Learning Large Language Models (OpenAI, Anthropic, Gemini, open‑source models) Agentic AI systems Vector databases Prompt engineering AI observability Backend Engineering Python PostgreSQL AWS & GCP CI/CD pipelines Monitoring and logging Built and shipped production software at startup speed. Led technical architecture decisions. Mentored engineers or technical teams.
Balanced product velocity with engineering quality. Solid communication skills with both technical and non‑technical stakeholders.
Experience hiring and scaling engineering teams is highly desirable.
Financial
Services, Legal, Insurance, Retail Industry experience. Become the technical owner of the platform. Ship meaningful product improvements. Improve engineering velocity and release processes. Help define the next‑generation AI platform architecture.
Scale the engineering organization. Lead technical hiring. Improve platform reliability and performance. Deliver enterprise‑grade AI capabilities. Become a key technical leader for customers, investors, and strategic partners.
Founding engineering leadership role. Significant equity opportunity. Build cutting‑edge AI products from the ground up. Work alongside experienced founders in AI, cloud, and enterprise technology. Influence product, technology, and company strategy from day one.
Opportunity to shape the future of enterprise document intelligence. If you're excited about building AI products, leading engineering, and creating category‑defining technology, we'd love to hear from you. #
📌 Software Engineering Manager Python H/F (Toronto)
🏢 Karbon Digital
📍 Toronto