1 hour ago
Toronto, CanadaStaff+
Responsibilities
- Build and ship production LLM-powered agents for software delivery lifecycle activities.
- Engineer agent scaffolding using tool calling, MCP, A2A handoffs, event-driven orchestration, and enterprise system integrations.
- Design automated evaluation suites, guardrails, human-in-the-loop gates, review thresholds, and escalation paths.
- Instrument agent quality, latency, cost, and adoption; diagnose failures and tune prompts, context, and configurations.
- Build retrieval and knowledge layers over process libraries, decision histories, code, and delivery data.
- Own agent instructions, context freshness, monitoring, feedback, and retirement throughout the lifecycle.
- Contribute to orchestrators, persona consoles, dashboards, and the enterprise AI platform.
- Apply strong architecture, code quality, testing, CI/CD, observability, and cloud-native engineering practices.
- Set engineering patterns and standards, solve ambiguous orchestration and reliability problems, and mentor others at the Senior Staff level.
Requirements
- 6+ years of professional software engineering experience for Staff or 9+ years for Senior Staff, with a record of shipping and operating production systems.
- Hands-on experience building LLM-powered applications or agents, including prompt and context engineering, tool calling, retrieval, or multi-agent workflows.
- Experience designing AI evaluations or strong test-engineering instincts applicable to non-deterministic software.
- Strong proficiency in Python or TypeScript and solid API, microservices, and event-driven architecture skills.
- Fluency with Git, automated testing, CI/CD, observability, and cloud platforms.
- Sound judgment about automation versus human review and the ability to explain technical reasoning clearly.
- Preferred: experience with MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, or LangGraph.
- Preferred: experience with developer platforms, orchestration systems, SDLC tooling, and Jira, GitHub, or ServiceNow integrations.
- Preferred: retrieval systems, embeddings, enterprise knowledge graphs, security and privacy review, responsible AI governance, open-source contributions, technical writing, or widely used internal platforms.
Benefits
- Targeted full-time base pay in Toronto is CAD 131,000–181,000 annually, excluding bonus, equity, and benefits.
- Employee Assistance Program.
- Healthcare coverage, life and disability insurance, and optional plans for eligible family members.
- Equinix-sponsored retirement and savings plans, including DCPP, RRSP, and TFSA.
- Vacation, personal time, and paid holidays.
- Equal opportunity employment and disability accommodation support.
Categories
About Equinix
Equinix (Nasdaq: EQIX) is the world’s digital infrastructure company®, enabling digital leaders to harness a trusted platform to bring together and interconnect the foundational infrastructure that powers their success. Equinix enables today’s businesses to access all the right places, partners and possibilities they need to accelerate advantage. With Equinix, they can scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value.