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.

• 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

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. Ability to design systems that are usable by developers and reliable in automation. Experience reasoning about correctness and safety with ambiguous input, nondeterministic output, false positives, or untrusted content. Comfort in an evolving R&D environment. Written and verbal communication skills.

Nice to have: 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. Experience moving prototypes into production.

Base salary range for this role in Canada: $108,000—$149,000 CAD. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible 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.

MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world’s most sophisticated organizations use MongoDB to create applications never before possible at a fraction of the cost of legacy databases. MongoDB is the fastest-growing database ecosystem, with over 9 million downloads, thousands of customers, and over 750 technology and service partners.