MongoDB Lead AI Engineer Application Modernization 

Canada, British Columbia, Abbotsford 

886291700

• 4+ years of technical leadership experience managing engineering teams, building platform infrastructure in fast-paced, early-stage environments
• 2+ years of hands-on experience building and deploying AI agent solutions using frameworks such as AutoGen, CrewAI, LangGraph, TaskWeaver, LangChain, Semantic Kernel, or evaluation suites like OpenAI Evals
• Deep understanding of multi-agent coordination, task decomposition, and agent-to-agent communication patterns
• Proven experience in distributed systems, platform engineering, or developer tooling
• Expertise with container orchestration (Kubernetes, Docker) and cloud infrastructure (AWS/GCP/Azure)
• Proficiency in Python and/or JavaScript/TypeScript for building scalable backend services and APIs
• Experience with workflow orchestration tools and event-driven architectures
• Strong background in building automated testing frameworks, benchmarking systems, and CI/CD pipelines
• Experience with performance monitoring, metrics collection, and statistical analysis for system evaluation

• Lead the design and development of a scalable agent orchestrator platform that can deploy, manage, and coordinate multiple AI agents across different use cases
• Architect and build a comprehensive benchmarking and evaluation suite for testing agent performance, reliability, and safety across multiple dimensions: accuracy, latency, cost-effectiveness, and robustness
• Build robust APIs and SDKs that enable seamless integration of various agent frameworks and models
• Establish engineering best practices for code quality, testing, documentation, and deployment
• Collaborate closely with ML researchers, product managers, and security teams to define evaluation criteria and platform requirements
• Drive technical decision-making and architecture reviews while balancing innovation with system stability
• Stay current with the rapidly evolving agent ecosystem and evaluate new frameworks and approaches
• Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
• Partner effectively with engineering and product leaders to align on direction and execution
• Create a balanced environment that encourages both iterative improvement and rigorous evaluation

Within the first three months, you will have:

• Familiarise yourself with the MongoDB database and aggregation language
• Familiarise yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews
• Established deep technical understanding of agent orchestration frameworks, evaluation methodologies, and our existing platform architecture

Within six months, you will have:

• Provide design and architectural guidance in extending current software and developing new software
• You will be involved in our recruitment of new team members
• Identify what mentorship each individual needs to enable them to meet their goals
• Delivered core components of the agent orchestrator platform with robust API interfaces and SDK foundations

Within 12 months, you will have:

• You will contribute to the vision and growth of our team
• You will be involved in our recruitment of new team members
• Delivered a comprehensive evaluation suite that provides reliable benchmarking across performance, cost, and safety dimensions
• You will be trusted to execute complex projects
• Deliver at least one release of our products