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.

The Chance

We’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 Own

- Own 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.

Requirements

Technical Experience

We’re looking for someone with experience across many of the following:

AI & Machine Learning

- Large Language Models (OpenAI, Anthropic, Gemini, open‑source models)
- Agentic AI systems
- Retrieval‑Augmented Generation (RAG)
- Vector databases
- Prompt engineering
- Evaluation frameworks
- AI observability
- Model orchestration frameworks (LangGraph, LangChain, LlamaIndex, etc.)

Backend Engineering

- Python
- FastAPI or similar frameworks
- REST APIs
- Event‑driven architectures
- Distributed systems
- PostgreSQL
- Redis
- Background job processing

Cloud & Infrastructure

- AWS & GCP
- Docker
- Kubernetes (preferred)
- Terraform (nice to have)
- CI/CD pipelines
- Monitoring and logging
- Security best practices

Leadership Experience

- Built and shipped production software at startup speed
- Led technical architecture decisions
- Worked closely with founders
- Mentored engineers or technical teams
- Balanced product velocity with engineering quality




- Strong communication skills with both technical and non‑technical stakeholders

Experience hiring and scaling engineering teams is highly desirable.

Nice to Have

- Enterprise SaaS & PaaS experience
- Experience with document processing or intelligent automation
- OCR, search, or knowledge management platforms
- Financial Services, Legal, Insurance, Retail Industry experience
- Startup experience from Seed through Series A/B

What Success Looks Like

Within your first 90 days, you’ll:

- Become the technical owner of the platform
- Understand the existing architecture and roadmap
- Ship meaningful product improvements
- Improve engineering velocity and release processes
- Help define the next‑generation AI platform architecture

Within your first year, you’ll:

- 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

Why Join Us

- 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.

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📌 Engineering Lead (Toronto)
🏢 Karbon Digital
📍 Toronto