Hybrid AI Engineer

at NetBrain Technologies Inc.

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: CA$130,000 - CA$165,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, React
• Location requirements: Hybrid, Toronto, Canada

About the role

• Senior AI Engineer designing and building agent and RAG systems for NetBrain's network automation platform. Combining engineering with system-level thinking to enhance reliability and scalability.

Responsibilities

• Design and build core agent platform capabilities, including orchestration patterns (e.g., ReAct, Plan-and-Execute), tool execution layers, memory/context management, and guardrails
• Develop reusable agent skills and a standardized tool ecosystem aligned with platform conventions
• Implement enterprise-grade controls for agent execution, including human-in-the-loop workflows, permissioning, and policy enforcement
• Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation behavior
• Define evaluation frameworks and quality metrics to ensure grounded, reliable outputs
• Build automated evaluation and regression pipelines to maintain quality at scale
• Establish observability (tracing, metrics, alerting) and optimize systems for latency, throughput, and cost
• Define best practices and incident response processes to ensure production readiness
• Prototype and productionize emerging approaches (e.g., GraphRAG, knowledge graphs, MCP integrations)
• Evaluate AI frameworks and infrastructure (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) and guide platform decisions
• Diagnose and resolve complex AI system issues (retrieval quality, hallucinations, prompt regressions, agent failures)
• Lead system design and drive technical decisions through hands-on prototyping and benchmarking

Requirements

• BS in Computer Science, AI, Electrical Engineering, or related field (advanced degree preferred or equivalent experience)
• 5+ years of software engineering experience, including building and deploying production-grade LLM, agent, or RAG systems
• Proven track record of shipping and supporting AI-powered features in production
• Strong Python skills (API design, testing, error handling, environment management)
• Working proficiency in C# or C++
• Deep understanding of RAG system design and evaluation methodologies
• Experience building evaluation frameworks (test sets, metrics, regression pipelines)
• Understanding of LLM security risks (prompt injection, data leakage, agent misuse)
• Experience with graph databases, knowledge graphs, or GraphRAG preferred
• Experience designing human-in-the-loop systems and execution controls preferred
• Experience with agent frameworks (e.g., LangChain, LangGraph, AutoGen, LlamaIndex)
• You are willing and able to commute to our Toronto, ON office on a hybrid (once a week) schedule
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

Benefits

• RRSP and medical/dental coverage