Transform the landscape of AI solutions as an AI Applications Engineer at Guidepoint in Toronto. Develop and optimize Generative AI systems, making pivotal contributions to cutting-edge projects.
This hybrid role seeks a skilled engineer with experience in backend systems and Generative AI. You'll be pivotal in designing low-latency services and managing complex AI application lifecycles. The position emphasizes collaboration with product teams and continuous enhancement of AI capabilities, ensuring that products meet the highest standards.
Key Responsibilities:
• Design and operate scalable backend systems for AI features
• Own the end-to-end AI application lifecycle
• Enhance the quality of retrieval processes and system integration




• Mentor junior engineers through code reviews and collaboration
• Influence AI product roadmaps with user-centric insights
Requirements:
• Master’s degree with 4+ years of experience in AI
• Proven expertise in Python and FastAPI or similar frameworks
• Familiarity with cloud deployment on Azure or GCP
• Significant experience with LLM-based applications
• Hands-on with data processing tools like Databricks
Join Guidepoint to lead the charge in redefining AI technologies and drive impactful innovations!
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📌 AI Applications Engineer – Hybrid Role (Toronto)
🏢 Socket.dev
📍 Toronto