Software Engineer 3

The Agent Research and Tooling team, part of MongoDB's AI Builder Experience organization, owns the platform layer around agents: how teams author, distribute, evaluate, monitor, and improve agent skills and agent behavior. We are hiring a software engineer to build and maintain the tooling, evaluation systems, and quality gates behind MongoDB's agent skills.

This is a software engineering role at the intersection of developer tooling, applied AI, and software quality. You will take loosely defined agent and tooling problems, break them into workable plans, and ship durable internal systems: command-line tools, reusable libraries, evaluation harnesses, and CI workflows.

This role is open to remote work in Canada or can be based out of any of our Canada offices.

What you'll do

Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them

Design evaluation datasets and workflows that compare agent behavior against a baseline and produce actionable quality signals

Build agent metrics and observability: skill selection and routing, success and failure outcomes, tool calls, latency, and token usage

Design safety and quality gates for agent-authored content: rule packs, static analysis, confidence thresholds, structured verdicts, and bounded suppression

Create CLIs, libraries, and MCP integrations that other repositories adopt and that run in local development and CI

Integrate tooling into GitHub Actions and other CI workflows, including secrets, annotations, exit codes, and artifacts

Build code-generation quality checks, such as anti-pattern catalogs and linting for AI-generated MongoDB code

Investigate real failures such as nondeterministic results, false positives, and unsafe generated guidance, and turn them into reusable improvements

Collaborate with engineers, security partners, and product teams; communicate trade-offs, risks, and ownership across teams

Examples of the problems you'll solve

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