AI-Native Full-Stack Engineer

GAIN

AI-Native Full-Stack Engineer at GAIN IQ building from first principles intelligent platforms where LLMs and human creativity intersect. Collaborate with engineers to architect systems that enable insights and automations.

Posted 7/1/2026full-timeVancouver • 🇨🇦 CanadaMid-LevelSenior💰 CA$105,000 - CA$125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development with a strong foundation in React, Node.js, Python, and AWS, while leveraging AI-native systems and LLM orchestration for innovative solutions. Proven ability to architect scalable pipelines and data orchestration layers that integrate advanced machine learning techniques.

Highest-signal resume keywords

Full-Stack DevelopmentAI-Native SystemsLLM OrchestrationData Orchestration LayersAWS Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ReactNode.jsPythonPostgresSupabaseAWS LambdaAWS ECSAWS S3AWS DynamoDBAWS RDS

Soft Skills

Systems ThinkingCraftsmanshipCuriosity

Tools & Technologies

N8nOpenAI Agents SDKVector DatabasesApplied ML

Industry Keywords

AI WorkloadsAgentic WorkflowsPrompt EngineeringEmbeddings

Tech Stack

Tools & technologies

AWSJavaScriptNode.jsPostgresPythonReact

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Home office allowance
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.