AI Lead

6+ Months

Toronto, ON – Hybrid

Mandatory skills : 5+ years with a track record of leading teams and architecting complex AI systems in production environments. Candidates should have deep technical expertise and leadership skills.

Skillset Requirements

- Systems Architecture: Expertise designing distributed AI systems, multi-agent frameworks, and scalable RAG pipelines.
- LLM Internals: Deep understanding of transformer mechanics, attention patterns, tokenization, and inference optimization.
- Evaluation Science: Ability to design adversarial tests, regression suites, and domain-specific scoring functions.
- AI Security: Knowledge of jailbreak prevention, prompt-injection defense, secure tool-use, and zero-trust agent routing.
- Tokenomics: Ability to optimize token usage, context windows,



and cost-latency trade-offs.
- Distributed Systems: Experience with load balancing, sharding, concurrency, and high-availability inference clusters.
- Observability: Familiarity with tracing, logging, telemetry, and agent-level debugging.
- DevOps for AI: CI/CD for model updates, containerization, GPU orchestration, and rollout strategies.
- Mentorship & Leadership: Ability to enforce engineering discipline, code quality, and architectural guardrails.
- Responsible AI & Governance: Guardrail design, content-safety policy, and audit/traceability for regulated deployments

📌 AI Lead (Toronto)
🏢 Spruce InfoTech
📍 Toronto