Full-Stack Engineer (AI), Canada

Location: ON/QC, Canada ideally; two one-week trips to Montreal required within the next three months

Company

hirify.global delivers agentic AI solutions and production-grade proofs of concept for enterprise clients.

What you will do

• Build end-to-end proofs of concept and MVPs, from discovery and solution design through working demos and handover.
• Build and deploy AI agents on Amazon Bedrock AgentCore and integrate them with client databases, data lakes, APIs, and SaaS platforms.
• Develop full-stack applications with Next.js, TypeScript, streaming chat, and agent interfaces.
• Build data ingestion and transformation pipelines with Data Architects using AWS data services.
• Implement RAG and retrieval solutions and use AI coding assistants while maintaining code quality, test coverage, and security.
• Participate in client workshops, present technical solutions, explain trade-offs, and contribute reusable internal accelerators.

Requirements

• 5+ years of professional software development experience with strong full-stack skills.
• Strong TypeScript and Node.js skills with production experience in Next.js and React.
• Working knowledge of Python.
• Hands-on AWS experience with Lambda, API Gateway, S3, IAM, DynamoDB/RDS, ECS or containers, and CloudWatch.
• Practical experience building LLM-powered applications on Amazon Bedrock; Bedrock AgentCore experience is advantageous.
• Experience with agent frameworks such as Strands Agents, LangGraph/LangChain, LlamaIndex, or CrewAI, including tool calling, memory, and multi-step orchestration.
• Experience with SQL/PostgreSQL, ETL/ELT patterns, and messy real-world client data integrations.
• Proven experience reviewing, testing, and refactoring AI-generated code and recognizing when it should not be trusted.
• Experience with Docker, CI/CD, and infrastructure as code using CDK or Terraform; comfortable owning PoCs in ambiguous, fast-paced, client-facing environments.
• Excellent communication skills for client meetings and demos. English proficiency: B2+ required; C1 preferred.

Nice to have

• AWS certifications in Solutions Architecture, Development, Machine Learning, or Generative AI.
• Experience with Model Context Protocol, A2A protocols, LLM evaluation, guardrails, and observability tools.
• Consulting, pre-sales engineering, forward-deployed, or solutions engineering experience.
• Experience with streaming data or analytics platforms such as Kinesis, Kafka/MSK, Redshift, Databricks, or Snowflake.

Culture & Benefits

• Full-time, long-term engagement with 16 days of paid time off and official public holidays.
• Health insurance and participation in company events, team-building activities, and recognition programs.
• Career growth opportunities, certifications, Udemy courses, and access to Claude or other required tools.
• Friendly, open, and supportive culture without excessive bureaucracy.