Senior AI Application Developer

Type : Full-time, Permanent

About AutoAlign AI

At AutoAlign AI (http : / / autoalign.ai), we build trusted, industrial-focused AI assistants that help manufacturers, insurers, and field-service providers deliver with higher accuracy and efficiency.

Our AI-powered supervisor platform enables advanced quality control and operational intelligence across manufacturing and automotive workflows. By supporting SOP training and validation, and building industry-specific troubleshooting AI agents, we empower front-line workers to perform their jobs more efficiently while ensuring accuracy, efficiency, and safety.

We partner with global leaders such as NVIDIA and KPMG to deliver cutting-edge solutions that scale securely in enterprise environments. Based in Toronto, we are growing fast and looking for passionate engineers to join us on this journey.

About the Role

We are seeking a Senior Full-Stack Application Developer with strong frontend and server-side engineering experience building multi-platform AI applications across web, mobile, and smart / connected devices (e.g., smart glasses). This role is responsible not only for user-facing experiences but also for the backend systems that enable reliable, scalable, and secure AI-powered applications.

Key Responsibilities

• Develop end-to-end AI application flows, integrating user interfaces with backend APIs and services built in Python (FastAPI) to support real-time inference, data exchange, and AI workflow orchestration.
• Architect and implement scalable, secure server-side systems that power AI-driven applications, including request handling, model invocation, data persistence, and observability.
• Collaborate closely with ML and platform teams to operationalize machine learning models into user-facing applications, ensuring performance, reliability, and clear failure modes.
• Implement robust state management and data-flow patterns (e.g., Redux Toolkit) to support complex, real-time, and data-intensive application behavior.
• Build and integrate cross-platform and native components using Swift, Kotlin, or equivalent where platform-specific performance, hardware access, or UX is required (e.g., cameras, sensors, smart glasses).
• Optimize applications for latency, responsiveness, and reliability, especially in AI-driven and real-time interaction scenarios.
• Work closely with ML engineers to connect trained models with production applications and optimize AI feature performance. Contribute to and support AI model training, testing, and evaluation
• and data teams to deliver high-quality, production-ready AI experiences.

Required Skills and Qualifications

What We Offer

Please send your resume and cover letter to careers@autoalign.ai

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