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Remote Python Mechanical Engineering Jobs in Avondale, AZ

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

YO AI Labs

AI Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI coding agents Expert - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Technical Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Generac

Power Solutions Manager

Phoenix, AZ · On-site +1

$124K - $154K/yr

Promotes and provides technical onsite and remote sales support of Generac Industrial products with ... Electrical Engineering or Mechanical Engineering Degree. * Power generation or engine generator ...

YO AI Labs

Mental Health Expert - Remote

Phoenix, AZ · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

Cisco

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

Meet the Team Our software engineering team develops software using Cisco's Design Thinking ... Design and develop production software and services using technologies such as Golang and Python ...

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All JobsPython Mechanical Engineering JobsRemote Python Mechanical Engineering JobsRemote Python Mechanical Engineering Jobs in Avondale, AZ

Remote Python Mechanical Engineering information

See Avondale, AZ salary details

$22.5K

$136.8K

$197.9K

How much do remote python mechanical engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote python mechanical engineering in Avondale, AZ is $136,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $160,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Python Mechanical Engineering vs Remote Mechanical Design Engineer?

AspectRemote Python Mechanical EngineeringRemote Mechanical Design Engineer
Required CredentialsEngineering degree, Python programming skills, mechanical knowledgeEngineering degree, CAD software proficiency, mechanical design skills
Work EnvironmentSoftware development, coding, data analysisDesign, CAD modeling, prototype development
Employer & Industry UsageTech companies, engineering firms, product developmentManufacturing, automotive, aerospace, product design
Search & Comparison IntentTechnical coding roles, remote Python jobs in engineeringDesign-focused remote mechanical engineering roles

Remote Python Mechanical Engineering involves coding, data analysis, and software development using Python in a mechanical context. In contrast, Remote Mechanical Design Engineers focus on CAD modeling, designing mechanical components, and prototype creation. Both roles require engineering backgrounds but differ in daily tasks and skill sets, catering to different aspects of mechanical engineering projects.

What cities near Avondale, AZ are hiring for Remote Python Mechanical Engineering jobs?

Cities near Avondale, AZ with the most Remote Python Mechanical Engineering job openings:

Remote Python Mechanical Engineering jobs near you

AI/ML Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$200 - $350/hr

Full-time

Posted 6 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.