JobgetherPosted today
Senior AI Engineer, MapGPT
Senior AI Engineer, MapGPT at Jobgether scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.
AI in this role
Build and operate production-grade AI systems, LLM-backed applications, and distributed agent infrastructure as a Senior AI Engineer.
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 Engineer, MapGPT based in Canada.
This is a senior engineering role focused on building and operating production-grade AI systems that power location-aware products and intelligent user experiences. You will own the technical design and delivery of multi-component AI systems, with responsibility for the quality, reliability, and performance of what reaches customers. The role spans LLM-backed applications, agent orchestration, evaluation systems, data engineering, model tooling, and distributed infrastructure. You will work across product and engineering teams, moving between problems and technology stacks where your expertise can have the greatest impact. A key focus will be making non-deterministic AI systems measurable, reliable, cost-efficient, and resilient in production. You will also help establish engineering practices around evaluation, feedback loops, tool use, and continuous improvement. This opportunity suits an experienced engineer who is comfortable navigating ambiguous technical challenges while delivering practical, production-ready solutions.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where ai systems was part of your work. What did you do?
- Tell me about a project where agent orchestration was part of your work. What did you do?
- Tell me about a project where evaluation systems was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where model tooling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Systems, Agent Orchestration, Evaluation Systems, Data Engineering, and Model Tooling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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