J

Principal AI Engineer, Distributed Systems & Intelligent Platforms

Jobgether • Canada
Remote
This Job is No Longer Active This position is no longer accepting applications

Jobgether is seeking a Principal AI Engineer to build and scale intelligent, AI-native platforms operating at production-grade complexity. The ideal candidate will have deep experience in distributed systems, backend engineering, and production AI systems. This is a senior technical role focused on building and scaling intelligent, AI-native platforms.

Key Highlights
Design, build, and scale distributed AI-driven systems and backend platforms
Develop and evolve APIs and integration layers connecting frontend applications with distributed backend systems
Architect and implement event-driven systems, including workflows, state machines, and asynchronous processing pipelines
Key Responsibilities
Design, build, and maintain backend services using Python and Node.js within cloud-native architectures
Develop and evolve APIs and integration layers connecting frontend applications with distributed backend systems
Architect and implement event-driven systems, including workflows, state machines, and asynchronous processing pipelines
Technical Skills Required
Python Node.js AWS services (Lambda, DynamoDB, S3, SQS, EventBridge, Step Functions) Event-driven architecture Distributed system design principles NoSQL data modeling LLM-based systems RESTful APIs Containerization (Docker) Cloud deployment workflows
Benefits & Perks
Competitive compensation aligned with principal-level engineering roles
Fully remote-first working model across Canada
Opportunity to work on advanced AI-native and distributed systems at production scale
Nice to Have
Experience reasoning about system-wide impact and cross-service dependencies
Familiarity with AI observability tools such as Langfuse or similar platforms

Job Description

This is a senior technical role focused on building and scaling intelligent, AI-native platforms operating at production-grade complexity. You will work on live, high-traffic distributed systems where reliability, performance, and architectural clarity are critical. The role blends AI engineering with distributed systems design, requiring deep expertise in backend development, cloud infrastructure, and event-driven architectures. You will contribute to building intelligent workflows, agentic systems, and scalable APIs that power next-generation learning and development platforms. The environment is highly collaborative, engineering-driven, and focused on solving complex real-world problems at scale. It is ideal for a hands-on principal-level engineer who thrives in deep technical ownership and production-critical systems.
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