AI Engineer

Guidepoint is hiring an AI Engineer to join their Toronto AI team, focusing on developing and scaling Generative AI-powered systems including LLM applications and research agents. This hybrid role involves architecting RAG pipelines, owning the AI application lifecycle, and mentoring junior engineers.

• Architect and build production systems for Generative AI features such as RAG and agentic systems.
• Own the end-to-end lifecycle of AI-powered applications including deployment and monitoring.
• Optimize RAG pipelines through retrieval techniques and prompt engineering.
• Integrate LLMs with knowledge repositories and external APIs.
• Champion LLMOps and engineering best practices.
• Evaluate and implement advanced prompt engineering methods.
• Mentor junior engineers and influence product roadmap.

• Bachelor's/Master's in CS or related with 6+ years (4+ with Master's) experience in backend software engineering and Generative AI.
• Deep expertise in Python, backend frameworks (FastAPI/Flask), asynchronous programming, RESTful APIs, microservices, and CI/CD.
• Hands-on experience with Azure (or AWS/GCP), Docker, Kubernetes.
• 2+ years building applications with LLMs from OpenAI, Anthropic, or Google Gemini, using RAG, vector databases, and multi-agent systems.