Senior AI Developer, Agentic Systems

vibehackers; Montreal; Hybrid; CAD 200,000 - 242,000; Full time

Benefits offered by this job

RRSP

Health insurance

Telemedicine

Annual wellness budget

Remote work with Montreal office

In-person gatherings twice a year

Job summary

vibehackers is seeking a Senior AI Developer to design and ship production agent systems that automate parts of the product lifecycle. You will lead architecture, standards, and production-quality practices while collaborating with Product Managers across Workleap's product lines.

The role focuses on delivering first production agents, defining shared architecture, and ensuring reliability, observability, and cost control in a fast-paced environment. Remote-friendly with Montreal-office access.

Qualifications

• Strong production engineering experience across the agent development lifecycle.
• Hands-on experience designing and shipping multi-agent systems to production, including orchestration, context/memory management, tooling, and integrations (Slack, Atlassian, MCP).
• Experience instrumenting and evaluating non-deterministic systems: evaluations, observability, regression testing, and cost tracking.
• Sound architectural judgment around reliability, security, and cost, with ability to select appropriate models and defend technical decisions.
• Experience building components or tooling that others adopt; strong product sense and ability to work with Product Managers.
• Collaborative mindset and experience mentoring or growing others’ capabilities.
• Comfortable with ambiguity in early-stage projects and daily use of AI-assisted development tools.
• Bonus: product management experience or experience on B2B SaaS, HR, or IT products.

Responsibilities

• Ship the first production agents in collaboration with Product Managers, starting with brief creation and ProductManager-to-design handoffs and extending across the product lifecycle.
• Define and shape shared architecture and standards (orchestration, skills, memory, evaluations, guardrails) to support multiple product lines.
• Own production quality: implement observability, testing, security practices, and cost controls with human approvals at key gates.
• Co-design and iterate with Product Managers, reusing existing automations and shipping small, testable increments.
• Measure impact (time saved, time from customer signal to shipped decision, cost per agent/feature) and stop work that does not add value.
• Share practices and grow the team’s ability to build, run, and improve agents independently.

Skills

Production engineering

Multi-agent systems

Orchestration

Observability

Regression testing

Security

Cost management

Instrumentation/evaluation

Product sense

Mentorship/team growth

Collaborating with Product Managers

Iterative delivery

Tools

Claude

Slack

Jira

Confluence

GitHub

Mixpanel

Snowflake

Azure

Job description

Building production agent systems using Claude and AI-assisted development tools; heavy focus on agent orchestration and fast AI-driven iteration.

About the Role

Senior AI Developer to design and ship production agent systems that automate parts of the product lifecycle. You will lead architecture, standards, and production-quality practices (observability, testing, security, cost) while co-designing and iterating with Product Managers across Workleap's product lines.

Job Description

Role

Workleap is hiring a Senior AI Developer (Agentic Systems) to shape and build production agent solutions that automate parts of the product lifecycle (briefs, specs, design, launch, measurement). The role focuses on delivering first production agents, defining shared architecture and standards, and ensuring production quality across reliability, security, observability, testing and cost.

Key Responsibilities

• Ship the first production agents in collaboration with Product Managers, starting with brief creation and ProductManager-to-design handoffs and extending across the product lifecycle.
• Define and shape shared architecture and standards (orchestration, skills, memory, evaluations, guardrails) to support multiple product lines.
• Own production quality: implement observability, testing, security practices, and cost controls with human approvals at key gates.
• Co-design and iterate with Product Managers, reusing existing automations and shipping small, testable increments.
• Measure impact (time saved, time from customer signal to shipped decision, cost per agent/feature) and stop work that does not add value.
• Share practices and grow the team’s ability to build, run, and improve agents independently.

Team and Context

You will join the Product Ops team and work closely with a cross-functional group including an AI-Software Development Life Cycle team, Product Managers across two product lines, and a Senior AI Developer on the Data team. A proof of concept in Slack exists; you will help turn that into a production standard.

Requirements

• Strong production engineering experience across the agent development lifecycle.
• Hands-on experience designing and shipping multi-agent systems to production, including orchestration, context/memory management, tooling, and integrations (Slack, Atlassian, MCP).
• Experience instrumenting and evaluating non-deterministic systems: evaluations, observability, regression testing, and cost tracking.
• Sound architectural judgment around reliability, security, and cost, with ability to select appropriate models and defend technical decisions.
• Experience building components or tooling that others adopt; strong product sense and ability to work with Product Managers.
• Collaborative mindset and experience mentoring or growing others’ capabilities.
• Comfortable with ambiguity in early-stage projects and daily use of AI-assisted development tools.
• Bonus: product management experience or experience on B2B SaaS, HR, or IT products.

Tech / Tools Mentioned

Claude (including Claude Code and Managed Agents), MCP, Slack, Jira, Confluence, GitHub, Mixpanel, Snowflake, Azure.

• Base salary range: $140,000 - $170,000 (Canada-wide compensation scale; final offer may be adjusted by region).
• RRSP, family health insurance, telemedicine, and annual wellness budget.
• Flexible vacation policy.
• Remote work with access to Montreal office; in-person gatherings twice a year.
• Claude access for employees.

Hiring Process

• Initial recruiter call, virtual interview with hiring manager, take-home case study, and follow-up meeting with future colleagues. AI may be used to support some steps, but hiring decisions remain human.

Skills

Production Engineering System Architecture Multi-agent Systems Orchestration Observability Regression Testing Security Cost Management Instrumentation and Evaluation Product Sense Collaboration with Product Managers Mentorship / Team Growth Iterative Delivery

Experience Level

Senior

USD 140,000 - 170,000/year

Employment Type

{Full-Time}

• Family health insurance
• Annual wellness budget
• Remote work (access to Montreal office)