Staff Agentic AI Engineer
Netomi · AI/Technology
- Location: Toronto (Canada)
- Work arrangement: remote in country
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Position:
Staff Agentic AI Engineer
Company:
Netomi
Location:
Canada, Toronto
Employment type:
Full-time
Work Arrangement:
Remote
Short Summary:
As a Staff Agentic AI Engineer at Netomi, you will be a senior individual contributor helping build the core agentic factory platform that enables customers to define and build customer-specific agents for enterprise automation and brand interaction use cases.
Responsibilities:
- Design, build, and improve production-grade AI agentic systems for developing agents on Netomi’s core platform.
- Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.
- Evaluate Deep Agent, Claude Agent, OpenAI Agent, LangGraph, and other emerging agent orchestration patterns and frameworks for specific new use cases.
- Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, guardrail testing, quality metrics, and production behavior analysis.
- 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 cloud environments.
- Partner with product, platform, and engineering teams to translate emerging 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.
Requirement:
- Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics).
- 5-7+ years of experience in AI/ML engineering, applied machine learning, natural language processing, and/or AI systems development.
- 2+ years of hands-on experience building production LLM or AI agent systems.
- Demonstrated experience building agents used in production by external customers or enterprise/business users with hands-on experience using LangGraph, LangChain, or related agent orchestration frameworks.
- Strong Python engineering skills and experience building scalable production software systems.
- Experience deploying or operating systems in AWS cloud environments.
Benefits:
Netomi is an equal opportunity employer committed to diversity in the workplace.
Staff Agentic AI Engineer
Company:
Netomi
Location:
Canada, Toronto
Employment type:
Full-time
Work Arrangement:
Remote
Short Summary:
As a Staff Agentic AI Engineer at Netomi, you will be a senior individual contributor helping build the core agentic factory platform that enables customers to define and build customer-specific agents for enterprise automation and brand interaction use cases.
Responsibilities:
- Design, build, and improve production-grade AI agentic systems for developing agents on Netomi’s core platform.
- Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring.
- Evaluate Deep Agent, Claude Agent, OpenAI Agent, LangGraph, and other emerging agent orchestration patterns and frameworks for specific new use cases.
- Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, guardrail testing, quality metrics, and production behavior analysis.
- 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 cloud environments.
- Partner with product, platform, and engineering teams to translate emerging 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.
Requirement:
- Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics).
- 5-7+ years of experience in AI/ML engineering, applied machine learning, natural language processing, and/or AI systems development.
- 2+ years of hands-on experience building production LLM or AI agent systems.
- Demonstrated experience building agents used in production by external customers or enterprise/business users with hands-on experience using LangGraph, LangChain, or related agent orchestration frameworks.
- Strong Python engineering skills and experience building scalable production software systems.
- Experience deploying or operating systems in AWS cloud environments.
Benefits:
Netomi is an equal opportunity employer committed to diversity in the workplace.
Skills
- aws
- natural_language_processing
- python
Languages
EN
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