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AI Engineer II

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Towards AI, Inc.
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 89000 - 150000 USD Yearly USD 89000.00 150000.00 YEAR
Job Description & How to Apply Below
# AI Engineer II## American Express Published 05 Apr 2026### Share this job Phoenix, AZ, USA
89K - 150K USD Annual Onsite## Role Highlights### Languages used

PythonGOSQL### Key skills

Machine Learning Data Science Data Engineer Generative AIFeature Engineering Vector Database Computer Science

IntegrationsAPIUXData Management Security Embeddings Reliability RAGLLMsLoggingETLCloud Statistics Microservices Browser ### Tools, Libraries and Frameworks Hugging Face Kubernetes Docker Open Shift Splunk Grafana ELKPy Torch Tensorflow Langchain React ## Description The role involves designing and developing Generative AI applications, including RAG pipelines and agentic workflows. The engineer will collaborate with data owners to build data pipelines and context enrichment strategies to optimize AI solutions.

Responsibilities include prototyping and delivering production-ready tools that leverage LLMs and orchestration frameworks. The position requires translating business challenges into AI-first solutions to improve system reliability and incident response. Additionally, the role entails ensuring production deployments include appropriate logging and monitoring to maintain operational excellence.##

Required Qualifications and Skills Candidates must possess a passion for Generative AI and hands-on experience with LLM frameworks and RAG architectures. Proficiency in Python or Go is required, alongside a solid understanding of data engineering principles and machine learning frameworks. The role necessitates 35 years of relevant work experience and a bachelor's degree in computer science, Data Science, or a related field.

Experience with cloud platforms and containerized environments is also essential for successful deployment.## Apply Visit full job listing
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