CARE Pod sits on the critical path for how customers get help and how internal teams resolve operational workflows. We own customer-facing support experiences (chat + contact center integrations), enablement tooling, and a growing portfolio of agentic workflows that accelerate investigations and back-office execution.
We are hiring a Senior backend engineer to build and productionize agentic systems that are safe, observable, and auditable while strengthening service boundaries and lifecycle correctness across vendor and internal platforms.
The focus is to move toward:
- Clearer service ownership and deterministic lifecycle behavior across systems
- Well-defined, testable contracts between internal services and vendors
- Observable and explainable runtime behavior for AI workflows and integrations
- Repeatable evaluation and regression gating for non-deterministic agent outputs
- Predictable and low-risk releases aligned to our release governance model
What You Will Work On
- Implement agentic task flows (tool use, orchestration, and workflow state) for back-office automation where the final decision remains human-owned
- Build evaluation harnesses (runners, suites, regression gates) to validate correctness boundaries for non-deterministic systems
- Strengthen cross-system lifecycle guarantees (handoff, session, termination, retries) using backend events/APIs rather than fragile UI triggers
- Build/maintain knowledge ingestion pipelines that transform content into searchable indexes and support freshness + traceability
- Implement production-grade observability (signals, traces, failure classification) so AI outcomes and integrations are explainable in incidents
- Contribute to release readiness via trunk-based discipline, tagging, and evidence-driven release workflows
- Service design, API contracts, and workflow state modell
- Test strategy (unit/integration/e2e) and evaluation suites for AI flows
- Deployment and production support, including after-hours readiness in partnership with central teams
You will design and implement backend services and agentic workflows that:
You will own services end to end:
What You Bring
- Strong backend engineering fundamentals (service design, distributed systems, async workflows).
- Experience designing systems where correctness is enforced through contracts, tests, and runtime guarantees rather than tribal knowledge.
- Practical experience with at least one of: agent orchestration, workflow engines, tool-calling systems, or evaluation frameworks for LLM/agent behavior.
- Ability to reason about failure modes across system boundaries (vendor + internal) and build deterministic lifecycle handling.
- Production mindset: observability, incident response, and operational readiness.
Comfort operating under data privacy constraints and consent-based integrations.
EQ Bank | Equitable Bank Toronto, Ontario, CAN Office
30 St Clair Avenue West, Suite 700, Toronto, Ontario, Canada, M4V 3A1

