Senior AI Platform Engineer - Automation & Enablement

Safe Fleet; Coquitlam; On-site; CAD 120,000 - 135,000; Full time

Job summary

Safe Fleet is seeking a hands-on Senior AI Engineer to build a scalable AI platform with reusable services, agent infrastructure, and governance. You will modernise the AI stack, create automation, and enable engineers to deploy AI capabilities across products.

The role emphasizes internal enablement, security, and maintainability, with a strong focus on AI-native engineering, agentic SDLC, and collaboration with distributed teams. Strong English communication is required.

Qualifications

• 6+ years of professional software engineering experience, with strong system design and software architecture skills.
• Hands-on experience building and deploying AI-powered systems in production.
• Solid command of LLMs and transformer-based models, prompt engineering, RAG architectures, AI agents and workflow orchestration.
• Experience with modern AI platforms and services such as Azure OpenAI, OpenAI, Claude, Google Gemini or equivalent.
• Strong backend and cloud engineering experience, with hands-on Microsoft Azure; AWS or GCP background helpful.
• Practical knowledge of Data Science and Machine Learning fundamentals, including model evaluation and performance trade-offs.
• Proficiency with AI coding agents such as Claude Code, GitHub Copilot, Cursor or equivalent.
• Hands-on experience with AI-Native Engineering and Agentic SDLC — Spec-Driven Development, agent-assisted implementation, automated testing and verification, and development automation.
• Demonstrated ability to enable others — mentoring engineers, writing patterns and documentation used by the team.
• Strong problem-solving and cross-functional collaboration skills, including advanced English for technical discussions with distributed teams.

Responsibilities

• Build the foundation other engineers build on — reusable AI services, agent scaffolding, shared libraries, prompt and context management, and integration patterns for agents.
• Modernise and own SafeFleet’s AI stack: model selection and routing, provider abstraction, cost/governance, and upgrade paths.
• Design and implement RAG architectures, retrieval/indexing pipelines, and data access patterns for agents.
• Build MCP servers and tool integrations that expose internal systems safely to agents.
• Establish AI evaluation, observability and guardrails — eval harnesses, testing, tracing, and cost monitoring in production.
• Develop robust backend services and APIs that enable AI capabilities across teams.
• Mentor the engineering team on AI adoption, set standards, and drive architectural discussions.
• Apply AI-Native Engineering throughout the lifecycle and develop automation and agentic workflows.

Skills

System design

Software architecture

AI production systems

LLMs & prompts

Azure OpenAI

Cloud platforms

AI coding agents

Mentoring engineers

English communication

Job description

Safe Fleet is seeking a hands-on Senior AI Engineer to build a scalable AI platform with reusable services, agent infrastructure, and governance. You will modernise the AI stack, create automation, and enable engineers to deploy AI capabilities across products.

The role emphasizes internal enablement, security, and maintainability, with a strong focus on AI-native engineering, agentic SDLC, and collaboration with distributed teams. Strong English communication is required.