AI-Native Full Stack Engineer
Indexed description
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
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
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 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
- 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
- Introduce AI-native development workflows
- Build internal leverage tools
- Reduce human dependency in repeatable processes
- Improve output without increasing headcount
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
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
- Cloud-native experience (AWS preferred)
- CI/CD and infrastructure-as-code
- Event-driven architectures
- Comfort working in regulated or data-sensitive environments
- Python for experimentation
- Experience migrating legacy systems
- Experience building internal AI platforms
- 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
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
What This Role Is Not
- Not a prompt experimentation role
- Not AI theatre
- Not a low-ownership environment
Why This Is Rare
Most companies experimenting with AI are startups without legacy constraints.
Very few engineers get to:
- Re-architect real revenue-generating systems
- Transform a public fintech company
- Replace human workflows with intelligent systems at scale
- Define what “AI-native” means inside a regulated environment
Compensation
Base salary: $115,000 to $150,000 CAD
Compensation aligned with demonstrated AI capability, ownership, and impact.
Next Steps
If you are energized by transformation rather than intimidated by it, we encourage you to apply.
We hire deliberately. Every addition to the team should raise the average.
Benefits of working with us:
- Fully Remote Work - Unless otherwise specified in the job posting, Orion offers flexible remote work, supported by the tools and resources needed to succeed.
- Comprehensive Health Benefits - Access to medical, dental, and vision coverage plus a Health Spending Account
- Stock Options - Meaningful equity participation aligned with long-term value creation and company growth
- Flex Vacation - Benefit from paid time off, including vacation and personal days
- Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources
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