aiee.io | leo@aiee.io | Montreal, QC, Canada
AI Enhanced Engineer (AIEE) is a Montreal-based engineering and product company. We build, fix, and operate Artificial Intelligence at scale — through a human-orchestrated, agent-built delivery model.
Founded by Leopoldo G Vargas, AIEE combines client services with proprietary product development. The same team and methodology that delivers client engagements also builds and operates AIEE's own production products (Bot Brewers, Breathspace), proving the engineering process works before applying it to client systems.
Founded: 2025 | Location: Montreal, Quebec, Canada | Website: aiee.io
Mission: We build, fix, and operate Artificial Intelligence at scale — with the rigor of a senior engineering team and the throughput of an entire department.
Brand promise: Engineering precision, not slop.
Philosophy: Engineer, not consultant. AIEE writes code, reads codebases, and finds bugs at the line-number level. Every claim is tied to specific files, scores, or findings. No hand-waving, no slide decks, no strategy documents disconnected from implementation.
Assessments produce scored rubrics (0-100 per dimension), not qualitative judgments. Findings cite file paths and line numbers. Recommendations include time estimates and severity levels.
Every engagement starts with a comprehensive diagnostic. No remediation work begins until the system's health is understood. This protects the client from unnecessary work and protects AIEE from building on false assumptions.
95% of the code produced for clients is built by specialized AI agents under human direction. The founder orchestrates — setting strategy, making architectural decisions, reviewing all outputs, and approving every deliverable.
AIEE's workforce is a team of many specialized AI agents, each engineered for a specific engineering domain. The founder operates as the orchestrator — the single human who directs, reviews, and approves all agent output. Here are some examples.
Strategy, architecture, client relations (Human)
FastAPI, PostgreSQL, DDD, async patterns
PostgreSQL, MySQL, RLS, multi-tenant isolation
Terraform, GitHub Actions, Cloud Run, Docker
Angular, Svelte, Web Components, accessibility
Modern Python 3.12+, async, type hints, profiling
OWASP, SOC 2, GDPR, penetration testing
Microservices, DDD, event-driven, CQRS
Every engagement enters through the diagnostic phase. The assessment report prescribes specific services based on evidence from the client's codebase.
The entry point to every engagement. A comprehensive, engineering-grade diagnostic that audits the client's software system across multiple dimensions and scores each one.
Actual numbers out of 100
File paths and line numbers
ML methodology validation
Full system, not one app
After the assessment identifies what needs fixing or building, AIEE offers four specialized service tracks:
Upgrade outdated frameworks, harden security, modernize build pipelines. When your AI system works but runs on outdated stacks.
Retrain, reconnect, and redeploy ML models that are broken, disconnected, or degraded. When your ML feature stopped working and nobody knows why.
Wire ML services together, add observability, build fallbacks and monitoring. When your ML model works in isolation but isn't connected to your product.
Build new AI-powered features from scratch — full-stack, from data pipeline to user interface. When you have a problem that AI can solve but no AI system yet.
The ongoing relationship after remediation or development. After project work completes, AIEE stays on as an AI operations partner through a monthly retainer. This prevents regression when remediated systems are left unmanaged.
The same team that diagnosed and fixed the system continues to operate it, with full context and no knowledge transfer overhead.
Oil & gas field services, B2B SaaS, Consumer mobile
Every dimension rated 0-100 with a minimum-score rule. Objective measurement, not subjective opinion.
Findings cite specific files, line numbers, and code paths. Actionable from day one.
ML methodology validated for reproducibility and data integrity.
Mobile + web + API + ML + infrastructure in a single engagement. One vendor for the entire system.
Speed and volume of a large team with the consistency and context of a single engineer.
AIEE builds and operates its own production systems (Bot Brewers, Breathspace).
Production-tested tools and templates published on GitHub. Six public repositories.
Engineering precision, not slop.
aiee.io | leo@aiee.io
AI Enhanced Engineer