Senior Ai Developer - Product Operations

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Developer - Product Operations based in Canada.
Join an innovative Product Operations team at an exciting stage of its AI transformation, helping redefine how products are planned, developed, launched, and measured. As a Senior AI Developer, you will design and deploy production‑ready AI agents that streamline workflows and support decision‑making across the product lifecycle. You will help establish the shared architecture, technical standards, and safeguards that enable multiple product teams to build on a reliable AI foundation. Working closely with Product Managers, AI engineering specialists, and cross‑functional teams, you will turn real operational needs into practical, measurable solutions. You will take ownership of agent quality, ensuring reliability, security, observability, and cost efficiency from the outset. This is an early‑stage opportunity to influence technical direction, experiment with emerging AI technologies, and shape how teams work at scale. You will also help others develop their agent‑building capabilities and foster a collaborative, AI‑enabled product culture.
Accountabilities
Design, build, and deploy the first production AI agents in collaboration with Product Managers, beginning with product brief creation and the handoff from product management to design.
Expand agent capabilities across the broader product lifecycle, from initial customer insights and planning through delivery and measurement.
Define and develop shared architecture, technical standards, and reusable components for orchestration, skills, memory, evaluations, and guardrails across product lines.
Establish production-quality practices covering observability, testing, security, reliability, and cost management, with human approval at critical decision points.
Collaborate closely with Product Managers to understand existing workflows, identify automation opportunities, and deliver small, iterative solutions that users can test and adopt.
Measure the effectiveness of AI agents through indicators such as time saved, speed from customer feedback to product decisions, and cost per agent or feature.
Evaluate solutions continuously, prioritizing meaningful improvements and discontinuing initiatives that do not deliver measurable value.
Share agent development practices, tools, and technical knowledge to help colleagues independently build, operate, and improve AI agents.
Partner with AI engineering and data specialists to align architecture, share reusable patterns, and strengthen the organization’s AI development capabilities.
Requirements:
Strong production engineering experience across the AI agent development lifecycle.
Hands‑on experience designing and deploying multi‑agent systems in production, including orchestration, tool integration, context management, and memory.
Experience integrating AI agents with platforms and tools such as Slack, Atlassian products, and the Model Context Protocol (MCP).
Demonstrated ability to instrument and evaluate non‑deterministic systems through evaluations, observability, regression testing, and cost tracking.
Sound architectural judgment across reliability, security, and cost optimization, including the ability to select appropriate models for different use cases.
Confidence in forming, communicating, and defending technical recommendations.
Experience building reusable components, internal tools, or technical capabilities that other teams or users adopt.
Strong product understanding and the ability to translate Product Managers’ workflows and needs into practical technical solutions.
Collaborative mindset, with an interest in sharing knowledge and helping teams adapt to new ways of working.
Builder mentality, taking ownership of delivered solutions and remaining comfortable with ambiguity and evolving priorities.
Regular, thoughtful use of AI‑assisted development tools, with the ability to assess their strengths and limitations critically.
Nice to have:
Product management experience or experience working on B2B SaaS, HR, or IT products.
Benefits:
Base salary of CAD $140,000–$170,000 annually, with final compensation adjusted according to the candidate’s province or region and local market conditions.
Annual bonus program.
Long‑Term Incentive Plan (LTIP), providing an opportunity to participate in the company’s long‑term growth.
Registered Retirement Savings Plan (RRSP).
Family health insurance.
Telemedicine services.
Annual wellness budget.
Flexible vacation policy.
Remote work arrangement, with access to an office in Montreal.
In‑person team gatherings twice a year.
Access to Claude for all employees.
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