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!

📌 Ai Applications Engineer – Hybrid Role Toronto (Canada)
🏢 Socket.dev
📍 Canada