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Remote Data Solutions Engineer Jobs in Arizona (NOW HIRING)

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering . * Develop ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Develop and manage Master Data Management (MDM) solutions to maintain a Golden Record for each ... Experience as a Lead Software Engineer is acceptable. In lieu of above, will accept a Bachelor ...

Review AI-generated solutions, identify failures, and provide precise technical corrections ... Previous experience with AI training data or model evaluation.

Sales Engineer

Phoenix, AZ · Remote

$90K - $130K/yr

Remote - United States Type: Full-Time Compensation: $90,000-$130,000 base salary Position Overview ... solution scoping. Success in this role requires a strong technical foundation in SQL, APIs, data ...

You will design reproducible environments, deterministic verification, and reference solutions for ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

You will design reproducible environments, deterministic verification, and reference solutions for ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

You will design reproducible environments, deterministic verification, and reference solutions for ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

But remote working in the USA is also fine as long as they can work in PST time zone. Role ... science, data engineering, with a proven track record of delivering impactful solutions.

But remote working in the USA is also fine as long as they can work in PST time zone. Role ... science, data engineering, with a proven track record of delivering impactful solutions.

Participate in the development of prototypes for business or research data solutions (dimensional ... Bachelor's Degree in engineering or related field required; Master's degree a plus; * 1 to 5 years ...

Showing results 41-60

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AI/ML Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$200 - $350/hr

Full-time

Posted 9 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.