AI Engineer

Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated with Diagnostic Troubleshooting, Outage Prevention and Protected Change Management.  Today, over 2,500 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform.

What We Need

We’re looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines hands-on engineering with system-level thinking—owning everything from architecture and evaluation to scalability, observability, and reliability in production. The ideal candidate thrives in ambiguity, moves quickly from prototype to production, and brings a strong focus on quality, safety, and real-world impact.

What You'll Do

Agent Platform & Architecture

• 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

Retrieval & AI Systems

• Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation behavior
• Define evaluation frameworks and quality metrics to ensure grounded, reliable outputs

Production Engineering & Reliability

• 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

Applied Research & Technical Strategy

• 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

Technical Execution

• 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

What You Bring

• 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.

What We Offer

Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company.

For this role, the estimated base is CAD $130,000 - CAD $165,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.

NetBrain invites all interested and qualified candidates to apply for employment opportunities.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

If you have a disability that prevents or limits your ability to use or access the site, or if you require any other accommodation in the application process due to a disability, you may request a reasonable accommodation. To make a request, please contact our People Team at:  Voir email sur job-boards.greenhouse.io and we will be happy to assist you.

In compliance with applicable laws, NetBrain conducts holistic, individual background reviews in support of all hiring decisions.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.