Lead Engineer — Vensuris Labs

Full-time · Remote (Eastern Standard Time prefered)

About Vensuris Labs

Vensuris Labs is the software arm of The Vensuris Group. We build agentic AI products for real, operating businesses — starting with ShopPros (an agentic operating layer for independent auto-repair shops) and expanding into a small portfolio of vertical SaaS bets,

each anchored by proprietary data and deep subject-matter expertise.

We run lean and move fast on a modern agentic stack (Claude Code, Next.js, Python,

Postgres, Railway, Vercel) — a small, high-leverage team where one engineer's work compounds across the whole portfolio. This is a chance to come in early, set the technical bar, and grow the engineering org from the ground up.

The role

We've already founded the core platform, the verticals, and the SME relationships that connect us to live data and industry intel. Your job is to build it out — from early stage to

MVP and into production. You'll take ownership of hardening, LLM-cost optimization, and build capacity across the platform, while working alongside Ricky (Head of Product &

Technology), who stays on product, architecture, and technical leadership.

Concretely, in your first 90 days you will:

- Pair on the agentic boilerplate's patterns until you can wield and extend them
- Own the hardening + LLM-cost backlog (model tiering, caching, context management)
- Set the code-quality bar — testing, observability, security — that the team scales on
- Lean into ShopPros (our largest base and most operational pressure), while Ricky validates the next verticals

What you'll do





- Build agentic AI products end-to-end: LLM orchestration, tool-calling, multi-agent loops, RAG, and evals
- Work across a modern full stack — TypeScript / Next.js on the front, Python on the backend, Postgres for data, Railway + Vercel for infra
- Own quality: automated tests, observability (Langfuse), security, and strict multi-

tenant data isolation• Keep LLM cost under control — the single largest variable cost line in an agentic product
- Turn one-off solutions into reusable patterns in the shared boilerplate that compounds across every product

Must-haves (the gate)

1. You've shipped agentic AI in production — real systems with LLM orchestration, tool-calling, and evals. Not tutorials, not prompt-only demos. Non-negotiable.
1. Robust backend / full-stack engineering — fluent across the stack above (or

clearly adjacent and demonstrably fast to ramp).
1. You own quality — testing, observability, security, and tenant isolation are

instincts, not afterthoughts.
1. LLM cost instinct — you've tuned model tiering, caching, and context to keep

spend sane.

Who you are

Hungry. Smart, with high learning velocity. Humble and coachable. Trustworthy. Highly motivated, with a long-horizon commitment to the mission. You want to build — and you measure yourself by what ships and works, not by title or tenure.

Compensation

- Market-salary compensation, full-time, plus benefits.
- Early-stage compensation incentives. As an early hire, you'll share in the upside -

there will be early-stage compensation incentives for the team that builds this out.

📌 Lead Software Engineer (Greater Toronto Area)
🏢 The Vensuris Group
📍 Greater Toronto Area