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Full Stack Engineer

Alquemy

  • Toronto, ON
  • 11 days ago

    Highlights

    We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will work as part of a collaborative DevOps team, delivering production-ready solutions while contributing to automation, continuous improvement, and operational excellence.

    Numbers & Facts

    LocationToronto, ON

    Description


    Full Stack Engineer

    About the Role

    We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will work as part of a collaborative DevOps team, delivering production-ready solutions while contributing to automation, continuous improvement, and operational excellence.

    Responsibilities
    • Design, develop, test, deploy, and support AI applications throughout the software development lifecycle.
    • Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi-step workflows.
    • Develop and integrate RESTful APIs and backend services.
    • Collaborate with cross-functional teams to deliver business requirements using iterative development.
    • Support production systems, troubleshoot issues, and contribute to continuous improvement.
    • Identify and address technical debt while delivering new functionality.
    • Write automated unit tests and contribute to CI/CD and DevOps practices.
    • Participate in code reviews, knowledge sharing, and team collaboration.

    Required Qualifications:
    • 3 years of software engineering experience.
    • Strong Python development skills.
    • Experience with LLM application development, including AI agents, RAG, prompt engineering, and tool/function calling.
    • Experience with LangChain, LangGraph, or similar LLM orchestration frameworks.
    • Strong SQL skills and experience designing RESTful APIs.
    • Experience with cloud-based LLM platforms (e.G., Azure OpenAI or equivalent).
    • Familiarity with LLM observability tools such as LangFuse or LangSmith.
    • Strong analytical and problem-solving skills.
    • Experience writing unit tests and supporting production applications.

    Preferred Qualifications
    • Experience with Parquet, DuckDB, or other analytical databases.
    • Familiarity with LiteLLM or multi-LLM routing frameworks.
    • Working knowledge of Java and Unix/Linux environments.
    • Experience with CI/CD and Agile/DevOps practices.

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