Staff Agentic AI Engineer - Marketing
New
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JobgetherMarketing AI Technology
Full-time, fully remote position available across Canada and North America.Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 5–7+ years of experience in AI/ML engineering, applied machine learning, natural language processing, AI systems development, or a closely related discipline.
- Required Skills
- AWSPythonMachine LearningNLPLLMLangChain
Requirements
- Bachelor’s degree or higher in Computer Science, Statistics, Engineering, Mathematics, or related quantitative field.
- 5–7+ years of experience in AI/ML engineering, applied ML, NLP, or AI systems development.
- 3–5 years of experience applying AI and machine learning to marketing use cases.
- Experience with enterprise marketing platforms like Adobe Experience Platform, Adobe Analytics, or similar.
- Strong Python engineering skills with experience building scalable production software.
- Hands-on experience with agent orchestration frameworks such as LangGraph or LangChain.
- Understanding of RAG, embeddings, retrieval quality, and enterprise knowledge access.
- Experience deploying and operating production systems in AWS cloud environments.
- Proficiency with AI coding tools such as Claude Code, Cursor, or similar.
- Strong engineering judgment and the ability to solve ambiguous, complex problems.
Responsibilities
- Design, build, and continuously improve production-grade agentic AI systems for marketing experiences using enterprise data.
- Architect agent workflows incorporating reasoning, tool use, retrieval, guardrails, and performance monitoring.
- Evaluate emerging agent frameworks such as LangGraph, LangChain, and others.
- Develop and maintain comprehensive LLM evaluation systems, including regression testing and quality metrics.
- Diagnose and optimize agent performance across prompts, latency, cost, and reliability.
- Implement RAG and embedding-based capabilities for enterprise knowledge access.
- Build scalable Python services and platform components for deployment in AWS.
- Establish engineering practices and technical standards for agentic systems.
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