Engineering Lead, AI Engineer (Applied​/Software), Software Architect

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.
The Opportunity   We're looking for a 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   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 (Lang Graph, Lang Chain, Llama Index, 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.
Benefits   Why Join Us?
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…