Guidepoint

Guidepoint

Senior Data/AI Engineer

Toronto, Ontario, Canada · Senior

Sponsorship not specified$135k-$210kDetected 7 days ago
PythonReactFastAPIFlaskBackend DevelopmentCode ReviewElasticsearchDatabricksVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesHelmCI/CDRESTMachine LearningSparkData ScienceNLPLLMsRAG

About the role

  • Guidepoint seeks an experienced Data/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
  • 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

Company info

  • We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

This listing is sourced directly from Guidepoint's careers page and normalized into a canonical job model.