Staff AI Developer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design and develop production-grade AI systems and components across machine learning pipelines, generative AI, and agentic workflows.

• Transform ambiguous challenges into functional systems that integrate diverse data sources using rule-based, probabilistic, and ML-based methodologies.

• Implement best practices for secure, observable, and scalable AI systems within cloud-native environments.

• Assess emerging frameworks and techniques, including agentic orchestration, fine-tuning, and evaluation methods, and provide recommendations to the team.

• Construct and sustain ML and data pipelines for the training, deployment, and monitoring of fine-tuned generative AI and machine learning models.

• Collaborate with data science teams, engineering managers, product stakeholders, and security operations analysts to deliver measurable customer value.

• Serve as a bridge between disciplines by articulating production constraints to data scientists and AI requirements to partners.

• Work alongside security operations, threat researchers, and product teams to ground initiatives in operational workflows and feedback loops.

• Convey progress, trade-offs, and technical decisions to both technical and non-technical audiences.

• Draft design documents, architecture decision records, and status updates.

• Write code, review pull requests, troubleshoot production issues, and assist teammates in overcoming obstacles.

• Mentor mid-level and early-career engineers while elevating standards for code quality, testing, and operational practices.

• Measure AI quality, assess outcomes, and assist in closing feedback loops with operations teams.

⛳️ Requirements

• 6+ years of experience in building intelligent systems, distributed platforms, or AI-enhanced applications.

• Proven experience in designing and deploying systems that support ML, data science, generative AI, or agentic workloads.

• Production experience with generative AI systems, encompassing prompt engineering, evaluation, guardrails, and some exposure to fine-tuning.

• Familiarity with agentic frameworks and LLM integration patterns, such as AgentCore, Amazon Bedrock, LangGraph, or similar.

• Demonstrated success in partnering with data science, product, and operations teams to achieve customer-facing outcomes.

• Excellent written and verbal communication skills for engaging both technical and non-technical audiences.

• Strong practical coding skills.

• Experience with cloud-native data services, preferably AWS, along with infrastructure-as-code and CI/CD practices.

• Knowledge of cybersecurity concepts including threat detection, alert triage, risk modeling, 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 mindset and a commitment to security-first development.

• Background checks are mandatory for this position.

• Candidates interviewing remotely are required to be on camera during all video interviews, with accommodations available as necessary.

🏝️ 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.