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)
🏢 Socket.dev
📍 Toronto