Staff Agentic AI Engineer - Marketing

Netomi
Toronto
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5-7 yearsEducation: bachelorsSkills: ["Independent work","Engineering judgment","Continuous optimization"]

Build and improve Netomi’s production-grade agentic AI “factory” that lets customers define and create marketing-focused, enterprise-specific agents. You’ll design agent workflows (reasoning, tool use, retrieval, guardrails, escalation, monitoring), develop LLM evaluation and regression/guardrail testing systems, and diagnose performance across latency, cost, retrieval quality, and failure modes. Work across agent orchestration, RAG/embeddings, and scalable Python services deployed on AWS.

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FursaFursa
Netomi
Netomi
2 days ago

Staff Agentic AI Engineer - Marketing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and improve Netomi’s production-grade agentic AI “factory” that lets customers define and create marketing-focused, enterprise-specific agents. You’ll design agent workflows (reasoning, tool use, retrieval, guardrails, escalation, monitoring), develop LLM evaluation and regression/guardrail testing systems, and diagnose performance across latency, cost, retrieval quality, and failure modes. Work across agent orchestration, RAG/embeddings, and scalable Python services deployed on AWS.
Location: Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and continuously improve production-grade AI agentic systems for web and chat-based enterprise experiences using grounded, structured data.
  • •Architect agent workflows for reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.
  • •Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, guardrail testing, and production behavior analysis.
  • •Diagnose agent performance issues across prompts, tool selection, retrieval quality, latency, cost, task completion, and failure modes.
  • •Build RAG and embedding-based capabilities and partner with product/platform/engineering teams to translate agentic capabilities into reliable platform features.

Key Requirements

  • •5-7+ years of experience in AI/ML engineering, applied machine learning, NLP, and/or AI systems development.
  • •3-5 years applying AI/data science/ML in the marketing space.
  • •Strong Python engineering skills for scalable production systems.
  • •Hands-on experience with agent orchestration frameworks such as LangGraph or LangChain, plus RAG/embeddings and retrieval quality.
  • •Experience deploying or operating systems in AWS cloud environments.
Experience:5-7 yearsAI/MLNLPMarketing
Education:Bachelor's in Statistics, Computer Science, Engineering, Mathematics
Skills:Independent workEngineering judgmentContinuous optimization
Tech Stack:PythonAWSLangGraphLangChainDeep AgentClaude AgentOpenAI AgentRAGEmbeddingsLLM evaluationLLM-as-judgeGuardrailsObservabilityTracingVector databasesRegression testingCodexClaude CodeCursorAdobe Experience Platform

Company Brief

Netomi
Provides an AI-powered customer service platform that automates conversational support across channels, using natural language understanding and automation to resolve customer issues, reduce contact center volume, and improve agent productivity.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn