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Staff Agentic AI Engineer

1 hour, 37 minutes ago
Canada
Full-time
Lead
AI Engineer
Software Development
AWS LLM Machine Learning NLP Python
Apply Now
Netomi

Netomi

Netomi is an AI-first customer service platform revolutionizing customer support with industry-leading resolution rates and multilingual support.

IT Services
51-250
Founded 2015
$52M raised
View All Jobs 30

Description

  • Design, build, and improve production-grade AI agentic systems on Netomi’s core platform.
  • Architect agent workflows with reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.
  • Evaluate agent orchestration frameworks and patterns such as Deep Agent, Claude Agent, OpenAI Agent, and LangGraph.
  • Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression tests, guardrail testing, and quality metrics.
  • Diagnose agent performance issues across prompts, tool selection, retrieval quality, latency, cost, task completion, and failure modes.
  • Design and implement RAG and embedding-based capabilities for enterprise knowledge access and automation workflows.
  • Build scalable Python services and platform components deployed in AWS.
  • Partner with product, platform, and engineering teams to turn agentic AI capabilities into reliable platform features.
  • Establish engineering best practices for continuous optimization of agentic systems.
  • Stay current with advances in LLMs, agent architectures, AI coding tools, eval methodologies, retrieval systems, and enterprise automation.

Requirements

  • Bachelor’s degree or higher in a quantitative field such as Statistics, Computer Science, Engineering, or Mathematics.
  • 5-7+ years of experience in AI/ML engineering, applied machine learning, NLP, or AI systems development.
  • 2+ years of hands-on experience building production LLM or AI agent systems.
  • Experience building production agents for external customers or enterprise/business users using LangGraph, LangChain, or related frameworks.
  • Experience turning messy, unstructured source material into validated structured output using schemas, ontologies, or data contracts, including entity resolution, disambiguation, and conflict resolution.
  • Strong Python engineering skills and experience building scalable production software systems.
  • Experience designing agent architectures involving tool use, reasoning flows, retrieval, memory, guardrails, and workflow orchestration.
  • Experience developing AI evaluation systems, including LLM-as-judge, guardrail evaluation, regression testing, and production quality measurement.
  • Strong understanding of RAG, embeddings, retrieval quality, and knowledge-grounded generation.
  • Experience deploying or operating systems in AWS cloud environments.
  • Daily use of AI coding tools such as Codex, Claude Code, Cursor, or similar tools.
  • Strong engineering judgment, ability to work independently, and comfort operating as a senior individual contributor on ambiguous technical problems.
  • Master’s degree or higher in a quantitative field is preferred.
  • Experience building or using knowledge graphs for enterprise knowledge modeling, retrieval, reasoning, or personalization is preferred.
  • Experience with enterprise automation platforms, customer experience systems, workflow automation, or AI-powered business process automation is preferred.
  • Familiarity with security, compliance, auditability, and governance requirements for enterprise AI systems is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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