Senior AI Platform Engineer

Senior AI Platform Engineer

Role Overview

We are seeking a Senior AI Platform Engineer to lead the design, development, and scaling of our AI-powered platform and cloud services. This role is ideal for a senior-level engineer with deep experience in backend systems, cloud infrastructure, platform architecture, and full stack product development. The right candidate will help build the core technical foundation that powers intelligent applications, AI workflows, integrations, and scalable production systems.

This person should be highly capable of making strong architectural decisions, writing production-grade code, and helping shape the future of our AI platform from both a technical and product perspective.

Key Responsibilities

● Design, build, and scale core platform services that support AI-enabled applications and workflows

● Architect cloud-native backend systems, APIs, orchestration layers, and distributed services

● Develop and maintain full stack capabilities where needed, including internal tools, dashboards, and user-facing interfaces

● Build infrastructure and service layers that support model integration, prompt workflows, retrieval systems, agents, and automation pipelines

● Improve platform performance, reliability, observability, security, and scalability

● Lead technical decision-making around architecture, tooling, languages, infrastructure, and deployment patterns

● Collaborate cross-functionally with product, design, operations, and leadership teams to turn ideas into production systems

● Mentor engineers and help establish best practices for software quality, testing, deployment, and maintainability

● Evaluate emerging AI technologies and determine how they can be applied in practical, scalable ways

Required Qualifications

● 8+ years of professional software engineering experience

● Strong background in backend and platform engineering for cloud-based products

● Experience designing and scaling distributed systems, APIs, microservices, and event-driven architectures

● Strong experience with modern cloud platforms such as AWS, Azure, or GCP

● Hands-on experience with containers, CI/CD, infrastructure automation, and production operations

● Experience integrating AI or machine learning capabilities into production systems

● Strong understanding of databases, caching, queues, security, monitoring, and system performance

● Ability to own technical projects end to end and operate with a high degree of independence

● Strong communication skills and ability to work across technical and non-technical teams

Preferred Qualifications

● Experience with Go, TypeScript, Python, Rust, or similar modern languages

● Experience with React, Next.js, or similar frontend frameworks

● Experience with vector databases, retrieval systems, model APIs, LLM workflows, and prompt orchestration

● Experience with Kubernetes, Docker, Terraform, and observability tooling

● Experience building internal developer platforms or reusable platform services

● Startup or high-growth product experience

● Experience mentoring senior and mid-level engineers

Ideal Technical Profile

● Backend and Platform: Go preferred for core cloud services and scalable APIs

● AI and Data Workflows: Python where appropriate for model integration, evaluation, and AI pipelines

● Frontend: TypeScript and React for internal tools and platform interfaces

● Infrastructure: Docker, Kubernetes, Terraform, CI/CD pipelines

● Data Layer: PostgreSQL, Redis, object storage, queues, vector databases

● Cloud: AWS, Azure, or GCP

What Success Looks Like

● You can design and deliver scalable platform services that support AI applications in production

● You can modernize or rebuild cloud systems with a focus on long-term performance and maintainability

● You can bridge platform engineering and AI product needs in a practical way

● You can raise the technical bar across architecture, code quality, infrastructure, and execution

Job Types: Full-time, Permanent, Fixed term contract, Freelance

Pay: $91,243.84-$205,883.95 per year

Work Location: Hybrid remote in Toronto, ON (Toronto District)