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 Opportunity
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

Prospect 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 (Ontario)
🏢 Karbon Digital
📍 Ontario