
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Toronto, Canada"), this listing's salary midpoint is about 26% higher. The offer sits above the benchmark range (€9,260–€13,890). The listed pay band (€12,500–€16,667) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Toronto, Canada | €9,260/per month | €13,890/per month | €13,890/per month |
In this role, you will - Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment. - Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs. - Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios. - Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale. - Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines. - Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior. - Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift. - Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements. - Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds. Background: Have 5+ years of relevant experience in a technical customer-facing role; fluent in English and Spanish; strong technical foundation; experience delivering production-grade customer solutions; ability to communicate with senior technical stakeholders; comfortable in fast-moving environments. Even better if you have - Experience building with or around LLMs / AI agents; experience with enterprise SaaS integrations; a Computer Science/Engineering/Math degree; strong product instinct. Benefits: medical, dental, vision; life and disability; retirement; parental leave; fertility benefits; wellness stipend; daily lunches; vacation policy; 25 days statutory leave UK. Compensation: CA$150K–CA$200K per year plus equity. Apply for this Job
Job Details
Responsibilities
- Own end-to-end architecture and execution of AI agent builds for enterprise customers
- Design and engineer the core agentic logic
- Engineer and validate layered guardrails and supervisory controls
- Architect, build, and test integrations with customer systems
- Interface with senior technical stakeholders
- Diagnose, debug, and resolve failures
- Design evaluation and regression-testing frameworks
- Translate customer needs into internal documentation
- Partner with cross-functional teams
Requirements
- 5+ years of relevant experience in a technical customer-facing role
Skills & Technologies
Education Level
No degree required
| Location | Active listings |
|---|---|
| Remote - Denmark | 1 |
| Remote - Norway | 1 |
| Remote - Global | 1 |
| Remote - Iceland | 1 |
| Remote - Sweden | 1 |
| Remote - Finland | 1 |
| Role type | Active listings |
|---|---|
| Solutions Engineer | 1 |
| Strategic Solutions Engineer | 1 |
| Role level | Active listings |
|---|---|
| Senior | 2 |
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