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Staff AI EngineerSafe Software · Canada Wide - Excluding Quebec
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Safe Software

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Staff AI Engineer

🗓️ Posted 2026-09-17 Canada Wide - Excluding Quebec Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 10,000 CAD–15,000 CAD/mo

About the Company

We help organizations do more with their data. A lot more. Over 20,000 organizations around the world use FME in industries like AEC, government, utilities, and transportation to maximize the value of their data. Founded in 1993, Safe is headquartered in Surrey, BC with over 200 team members and counting. We're always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Software Development Specialties: Data Transformation, Data Conversion, Data Sharing, Data Integration, Data Validation, Spatial ETL

About the Role

Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization. This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations. ABOUT THE TEAM AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices.

Responsibilities

  • ● Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement.
  • ● Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery.
  • ● Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval.
  • ● Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools.
  • ● Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression.
  • ● Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions.
  • ● Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration.
  • ● Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations.

Requirements

  • ● + years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale.
  • ● Strong software engineering skills, particularly in Python or comparable backend technologies.
  • ● Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support.
  • ● Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning.
  • ● Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders.
  • ● NICE TO HAVE
  • ● Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures.
  • ● WHAT YOU CAN EXPECT
  • ● When you choose a career with Safe Software, you're also choosing
  • ● Meaningful Work: Make a profound impact across our business, workplace and data integration product.
  • ● A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support.
  • ● Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives.
  • ● Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe.
  • ● Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to.
  • ● Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year.
  • ● Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That's right, no waiting period.
  • ● Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption.
  • ● Shared Success: Share in Safe's success with our bi-annual profit sharing and RRSP/TFSA matching program.
  • ● An Accessible Commute: Regardless of your commute method, we're located close to public transit, and provide complimentary parking and bike storage for our team
  • ● ABOUT SAFE SOFTWARE