Staff AI Developer

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $75k - $246k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Arctic Wolf

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:

📋 Description

• Design and build production-grade AI systems and components across ML pipelines, generative AI, and agentic workflows • Turn ambiguous problems into working systems that unify heterogeneous data sources using rule-based, probabilistic, and ML-based approaches • Apply best practices for secure, observable, and scalable AI systems in cloud-native environments • Evaluate emerging frameworks and approaches, including agentic orchestration, fine-tuning, and evaluation methods, and bring recommendations to the team • Build and maintain ML and data pipelines for training, deploying, and monitoring fine-tuned generative AI and machine learning models • Work with data science, engineering managers, product, and security operations analysts to deliver measurable customer value • Translate between disciplines by explaining production constraints to data scientists and AI requirements to partners • Collaborate with security operations, threat researchers, and product teams to ground work in operational workflows and feedback loops • Communicate progress, trade-offs, and technical decisions to technical and non-technical audiences • Write design documents, architecture decision records, and status updates • Write code, review pull requests, debug production issues, and unblock teammates • Mentor mid-level and early-career engineers and raise standards for code quality, testing, and operational hygiene • Instrument AI quality, measure outcomes, and help close feedback loops with operations teams

🎯 Requirements

• 6+ years building intelligent systems, distributed platforms, or AI-enhanced applications • Experience designing and shipping systems that support ML, data science, generative AI, or agentic workloads • Production experience with generative AI systems, including prompt engineering, evaluation, guardrails, and some exposure to fine-tuning • Experience with agentic frameworks and LLM integration patterns, such as AgentCore, Amazon Bedrock, LangGraph, or equivalent • Track record of partnering with data science, product, and operations teams to deliver customer-facing outcomes • Strong written and verbal communication skills across technical and non-technical audiences • Strong hands-on coding ability • Experience with cloud-native data services, AWS preferred, and infrastructure-as-code / CI/CD practices • Exposure to cybersecurity concepts including threat detection, alert triage, risk modelling, exposure management, MITRE ATT&CK, and telemetry • Familiarity with Spark, Flink, Kafka, and Databricks • Experience with ML quality measurement and evaluation frameworks, including LLM-as-judge and human-in-the-loop evaluation • DevSecOps and security-first development mindset • Background checks are required for this position • Candidates interviewing remotely are expected to be on camera during all video interviews, subject to accommodations

🏖️ Benefits

• Equity for all employees • Flexible time off and paid volunteer days • RRSP and 401k match • Training and career development programs • Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services • Robust Employee Assistance Program (EAP) with mental health services • Fertility support and paid parental leave • Variable incentive compensation • New hire equity grants