Guidepoint

Guidepoint

AI Engineer

Toronto, Ontario, Canada

Sponsorship not specified$135k-$210kDetected 4 days ago
PythonReactFastAPIFlaskBackend DevelopmentCode ReviewElasticsearchDatabricksVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesHelmCI/CDRESTMachine LearningSparkData ScienceNLPLLMsRAG

About the role

  • Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team.
  • Guidepoint's Technology team thrives on problem-solving and creating happier users.
  • This is a hybrid position based in Toronto.

Responsibilities

  • Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
  • Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS).
  • Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
  • Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
  • Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring.
  • Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs.
  • Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards.
  • Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings.
  • Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients' decision-making process.
  • At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives.

Requirements

  • A Bachelor's degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience
  • or a Master's degree with 4+ years of professional experience in backend software engineering and Generative AI.
  • Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio).
  • 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini.
  • Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
  • Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications.
  • Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio).
  • Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini.

Nice to have

  • Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm).

Compensation

  • $135,000 - $210,000 CAD
  • Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location.
  • The annual base salary range for this position is $135,000 - $210,000.

Benefits

  • Additionally, this position is eligible for an annual discretionary bonus based on performance.
  • You will also be eligible for the following benefits:
  • Comprehensive benefits plan
  • Development opportunities through the LinkedIn Learning platform
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This listing is sourced directly from Guidepoint's careers page and normalized into a canonical job model.