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Senior Full Stack Developer (Agentic AI)

🇨🇦 Toronto, Canada Fully remote5+ years

This position is no longer available

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Skills & Languages

Must-have required
Mcp1 Year(s)Llm2 Year(s)AI4 Year(s)Cursor1 Year(s)RAG1 Year(s)
Nice-to-have
AzureAwsGoogle Cloud Platform - Gcp
Languages required
English


Location: Canada (Remote)


About The Company


Our hiring partner is building the next generation of mobile commerce, replacing the traditional mobile web with fast, native, and contextual experiences. Their platform combines AI-driven personalization, deep data integration, and mobile-first tools to help brands acquire, convert, and retain customers more effectively across every touchpoint.


Position Overview


The company is seeking an experienced Senior Full Stack Developer focused on Agentic AI features. In this role, you’ll design, build, and deliver software solutions across the stack—from agent architectures and data systems to mobile app integrations and developer workflows. You’ll collaborate closely with product teams to solve real customer problems and directly influence product direction, with an initial focus on mobile app personalization and AI-driven optimization. Strong experience with large language models (LLMs) and data analysis is highly desirable.


Key Responsibilities

  • Develop and implement AI features leveraging LLMs and other AI technologies
  • Design, maintain, and version Model Context Protocol (MCP) specs to enable secure in-product agents to call internal APIs and third-party tools
  • Add Agentic AI capabilities to the company’s drag-and-drop dashboard for customer use
  • Fine-tune prompts to improve AI performance and accuracy
  • Collaborate with product teams to refine AI-driven features based on feedback and business needs
  • Process and analyze large datasets to generate insights and support AI-driven reports
  • Stay updated on AI/ML advancements and apply new techniques to improve product features
  • Troubleshoot and resolve issues related to AI models, ensuring robust and reliable performance
  • Document development processes, model performance, and cost optimization strategies

Required Qualifications


Essential Skills

  • Hands-on experience building LLM-powered applications, RAG systems, or Agentic AI
  • Strong Python and TypeScript skills with solid software engineering fundamentals
  • Understanding of distributed systems, API design, and cloud-native architectures
  • Experience with prompt engineering, embeddings, and vector databases
  • End-to-end software development experience: frontend, pipelines, tests, monitoring, and scalability
  • Familiarity with agentic coding tools (e.g., Cursor, Claude Code) to accelerate development
  • Strong data analysis skills to leverage data for AI-generated reports
  • Excellent collaboration and communication skills in cross-functional teams

Desirable Skills

  • Experience deploying AI systems on cloud platforms like AWS, Google Cloud, or Azure
  • High ownership, accountability, and initiative
  • Comfortable in fast-paced environments with rapid prototyping and iteration
  • Passion for autonomous AI systems and delivering real customer value
  • Detail-oriented with a focus on building scalable, high-performance systems

Education & Experience

  • 5+ years of production software development experience, with a track record of shipping high-quality solutions
  • Proven experience developing and deploying AI models in production
  • Experience collaborating with product teams and using data to drive feature development

Includes 1 screening question.

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