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. 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. Design evaluation datasets and workflows that compare agent behavior against a baseline and produce actionable quality signals 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 Build code-generation quality checks, such as anti-pattern catalogs and linting for AI-generated MongoDB code communicate trade-offs, risks, and ownership across teams How can tests verify an agent tool's structured result when item order may vary, but counts, required fields, and values must remain correct 2+ years of experience building production software, developer tools, internal platforms, or automation systems ~ Software engineering fundamentals in API design, testing, error handling, and maintainability ~ Experience building CLIs, libraries, test infrastructure, static analysis, or CI/CD workflows ~ Experience reasoning about correctness and safety with ambiguous input,



nondeterministic output, false positives, or untrusted content ~ Written and verbal communication, including explaining technical trade-offs and aligning stakeholders across teams Experience with agentic systems, LLM applications, prompt or rubric-based evaluation, or AI-assisted development Experience building eval harnesses, benchmark datasets, quality metrics, LLM-as-judge workflows, or human-review tooling Experience with Go, Python, JavaScript/TypeScript, Java, or C# Experience with GitHub Actions security, secret handling, static rule engines, or policy enforcement Ship tooling that makes agent skills or developer workflows easier to test, review, and adopt Improve the quality and interpretability of evaluations, not just their count Make security, correctness, and operational trade-offs explicit in the designs you ship Own projects independently while collaborating on shared systems MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.

MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation,



and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy ( , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB ( , and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. AI is used to review applications based on job-related criteria and does not replace human decision-making.

Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, adaptable paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. 108,000—$149,000 CAD #

📌 Softwareentwickler (m/w/d) JAVA / Angular / React (Moncton)
🏢 MongoDB
📍 Moncton