Business Unit: At GAIN IQ, we turn intelligence into action, building AI products that help marketing and growth teams see what matters, test what works, and scale performance that lasts.
Team: Engineering
Reporting to: VP of Engineering
Location: Toronto (remote) / Vancouver (hybrid)
THE ROLEMost "AI companies" bolt LLMs onto existing products. We're building from first principles - an intelligent platform where LLMs, vector databases, and human creativity intersect. An ecosystem of orchestrated agents that reason across structured, unstructured, and relational data to produce novel insights and automations that weren't possible before.
This isn't a role where you integrate a ChatGPT widget. You'll be architecting the systems that make agents think, remember, and act - and doing it with engineers who care deeply about elegance and craft.
RESPONSIBILITIESWhat You'll Be Building
- Full-stack features across React, Node/Python, Postgres/Supabase, and AWS (Lambda, ECS, SQS, S3, Dynamo, RDS), N8n, and OpenAI Agents SDK
- LLM orchestration pipelines and agentic workflows that distill complexity into intuitive context/action architectures - always keeping the human in the loop
- A unified memory layer that blends relational, non-relational, and vector databases seamlessly
- AI-accelerated development tooling - spec-to-code pipelines, self-documentation, test scaffolding, and automations that make the team faster
- Modular, scalable infrastructure designed for heavy AI workloads and built to last
Requirements- 3-5 years of hands-on software engineering experience, with a meaningful portion building AI-native systems
- Deep comfort with LLMs, agentic AI orchestration, prompt engineering, embeddings, vector databases, and applied ML
- Strong full-stack foundation: React, Node.js, Python, Postgres/Supabase, AWS (Lambda, ECS, S3, Dynamo, RDS), N8n, OpenAI Agents SDK
- A proven track record architecting pipelines, agent frameworks, and data orchestration layers that integrate LLMs, embeddings, and automation - systems that reason, adapt, and scale intelligently
- A systems thinker who values elegance, modularity, and velocity - and builds with the craftsmanship and curiosity of someone pushing the boundaries of what software can be
- How to stand out: Show us what you've shipped. Links to repos, agentic applications in production, infra diagrams you're proud of, or hard problems you solved with LLMs, agentic workflows, or ML pipelines - any of these go a long way.
HOW YOU'LL WORKRebel Thinking: We don't accept "good enough". Rebel Thinking is about curiosity with courage. We make it safe to question assumptions, challenge the obvious, and explore smarter, braver ways forward, even when it feels uncomfortable. This is how new ideas, better products, and real breakthroughs happen.
Make It Happen: "We turn intent into momentum." Making it Happen is about turning ambition in to action. We move fast, learn fast, and push through obstacles together. Progress beats perfection, and momentum creates impact.
Swarming Our Expertise: "Individually smart. Collectively unstoppable." Swarming our Expertise means we win together. We commit to developing our expertise so that by combining diverse skills, perspectives, and experiences, we solve harder problems faster and deliver results no single expert could achieve together.
Benefits- 3 weeks of paid time off to start
- Work from anywhere in the world up to 20 business days or 4 weeks per year! We want you to build a life and a career at the same time.
- Wellness time, health + dental coverage, health spending account, and wellness spending account so that you can prioritize YOU.
The typical hiring range for this role is $105,000 - $125,000 annually. This range reflects our commitment to our compensation philosophy, internal equity, and comes with a competitive and comprehensive total rewards package. Base pay will be determined based on role-related skills, knowledge, and experience.
