AI-Native Full Stack Engineer Job Vancouver area,BC Canada,IT/Tech

Help Transform a Real Fintech Company Into an AI-Native System

Orion Digital Corp. operates real revenue-generating platforms across lending, investing, and payments.

We are regulated.

We have production infrastructure.

We have legacy systems.

And we are redesigning the core.

We are in the middle of becoming AI-native, not as a feature layer but as a structural shift in how software is built, how decisions are made, and how workflows operate.

This is not greenfield experimentation.
This is live-system transformation.

If you want to help rebuild a functioning fintech company into an AI-native operating model, this role is aligned.

The Context

AI is compressing the cost of software creation and decision-making toward zero. The advantage is no longer who ships more code. It’s who redesigns systems around intelligence.

Orion is restructuring around that reality.

We are:

Replacing manual workflows with agents

Embedding intelligence into core systems

Redesigning deterministic architectures to incorporate probabilistic reasoning

Building evaluation and reliability frameworks where none previously existed

This transformation is active and underway. You will help drive it.

The Role

You will design and ship production-grade AI systems inside a live fintech environment.

This is not prompt engineering.
This is systems engineering during architectural transition.

You will:

Redesign legacy workflows into AI-native systems

Architect LLM-backed services integrated with production APIs

Build multi-step agents that reason and take actions across internal systems

Design hybrid architectures combining deterministic logic with probabilistic reasoning

Implement model routing and cost-aware execution

Build fallback and confidence-aware systems

Own reliability, evaluation, and observability

Ship safely in regulated, production environments

You are not joining a finished AI-native machine.
You are helping build it.

What You’ll Work On

Transforming Existing Systems

Replace manual review processes with AI agents

Introduce structured-output-first services into legacy APIs

Embed intelligence into lending, investing, and operations systems

Migrate deterministic decision flows into adaptive models

Building the AI Layer

Tool-calling agent architectures

RAG systems connected to internal data

Orchestration pipelines across services

Evaluation frameworks for probabilistic systems

Monitoring for latency, cost, hallucination risk, and drift

Compliance-aligned guardrails

Raising the Engineering Standard

Introduce AI-native development workflows

Build internal leverage tools

Reduce human dependency in repeatable processes

Improve output without increasing headcount

What You Bring

Core Engineering

4+ years building production backend or full stack systems

Strong Node.js and TypeScript experience

Experience with APIs and distributed systems

Experience building and shipping mobile applications (React Native or similar)

Comfortable operating in complex, real-world systems

AI Systems Experience

You have shipped AI systems beyond prototypes.

You understand:

Structured outputs and tool calling

Agent orchestration patterns

RAG architectures

Prompt versioning and evaluation

Latency and cost trade-offs

Debugging LLM behavior in production

Infrastructure

Cloud-native experience (AWS preferred)

CI/CD and infrastructure-as-code

Event-driven architectures

Comfort working in regulated or data-sensitive environments

Bonus:

Python for experimentation

Experience migrating legacy systems

Experience building internal AI platforms

How You Operate

You take ownership of outcomes.

You are comfortable replacing existing systems.

You move quickly without lowering standards.

You think in leverage, not effort.

You measure impact.

You hold your own work to a high bar.

You are not intimidated by ambiguity or transition.

Performance Expectations

You will be measured on:

Successful migration of workflows to AI-native systems

Production reliability and durability

Measurable reductions in manual effort

Intelligence lift across product and operations

Engineering leverage created

Standards raised across the team

This is a transformation role.

What This Role Is Not

Not a prompt experimentation role

Not AI theatre

Not a low-ownership environment

This is real…


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