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Remote Python Mechanical Engineering Jobs in Brooklyn Center, MN

Sehinc

Controls Engineer

Saint Paul, MN · On-site +1

$90K - $125K/yr

... Mechanical/Electrical team! Why our employee-owners love SEH: * "I was on vacation last week and ... This remote position can be located in the Charlottesville, VA area, or surrounding areas or Remote ...

Noblesoft Technologies

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

Minneapolis, MN(Remote) 1. Design, develop, test, document, and deploy Salesforce solutions based ... AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python ...

skywater

Layout Principal Designer

Minneapolis, MN · On-site +1

This engineer will be a significant contributor to a broad array of design projects supporting ... The position is based at our HQ site in Bloomington, MN, with consideration available for remote ...

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All JobsPython Mechanical Engineering JobsRemote Python Mechanical Engineering JobsRemote Python Mechanical Engineering Jobs in Brooklyn Center, MN

Remote Python Mechanical Engineering information

See Brooklyn Center, MN salary details

$23.7K

$144.5K

$209.1K

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

As of Jul 14, 2026, the average yearly pay for remote python mechanical engineering in Brooklyn Center, MN is $144,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $169,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Mechanical Engineer, and why are they important?

To thrive as a Remote Python Mechanical Engineer, you need a solid background in mechanical engineering principles, experience with Python programming, and at least a bachelor's degree in engineering. Familiarity with technical tools such as CAD software, finite element analysis (FEA) platforms, and Python libraries like NumPy, SciPy, and Matplotlib is typically required. Strong problem-solving skills, effective communication, and the ability to work independently are essential soft skills for remote collaboration. These skills and qualifications ensure you can design, analyze, and optimize mechanical systems efficiently while contributing effectively from a remote environment.

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 is a Remote Python Mechanical Engineer?

A Remote Python Mechanical Engineer is a professional who applies principles of mechanical engineering while working remotely, often leveraging the Python programming language to automate tasks, analyze data, develop simulations, or enhance product designs. These engineers may work on projects such as computational modeling, data analysis, or developing scripts for engineering workflows, all from a remote location. The combination of mechanical engineering expertise and Python proficiency allows them to solve complex engineering problems efficiently and collaborate with teams virtually.

How do remote Python Mechanical Engineers typically collaborate with cross-functional teams while working off-site?

Remote Python Mechanical Engineers often work closely with design, simulation, and manufacturing teams using digital collaboration tools. Regular video meetings, shared code repositories, and project management platforms help maintain open communication and ensure alignment on tasks and deadlines. Emphasis is placed on clear documentation and proactive updates to address time zone differences and minimize misunderstandings. This collaborative environment allows engineers to contribute effectively to multidisciplinary projects without being physically present.
What cities near Brooklyn Center, MN are hiring for Remote Python Mechanical Engineering jobs? Cities near Brooklyn Center, MN with the most Remote Python Mechanical Engineering job openings:
Remote Python Mechanical Engineering jobs near you
Infographic showing various Remote Python Mechanical Engineering job openings in Brooklyn Center, MN as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $144,528 per year, or $69.5 per hour.
Senior Applied AI Engineer / Forward Deployed Engineer

Senior Applied AI Engineer / Forward Deployed Engineer

Expleo

Minneapolis, MN • On-site, Remote

$75 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

Location: Fully Remote (Client Team Based in Minneapolis, Minnesota)Employment Type: Full-Time

Build Practical, Production-Ready AI Solutions for the Enterprise

Trissential is hiring a Senior Applied AI Engineer / Forward Deployed Engineer to join our client's team and help design, build, and deploy AI solutions that solve real business problems in complex enterprise environments.

This is not a research-only role. It's an opportunity to work closely with real users, tackle ambiguous challenges, and deliver production-ready AI systems that create measurable business value. If you thrive at the intersection of engineering, data, and business impact-and enjoy turning ideas into working systems-this role is built for you.

What's in It for You?

  • Applied AI with Real Impact - Build AI-powered applications and workflows that directly improve enterprise operations and decision-making
  • Forward-Deployed Engineering Experience - Work closely with stakeholders to understand workflows and deliver tailored, high-value solutions
  • Ownership & Influence - Shape architecture decisions across LLM apps, RAG pipelines, APIs, integrations, and deployment strategies
  • Enterprise-Grade Systems - Integrate AI with Microsoft 365, Azure, SharePoint, SQL, APIs, and large-scale enterprise platforms
  • Fully Remote Flexibility - Collaborate with experienced teams while working from anywhere in the U.S.
  • Production-Focused Work - Focus on reliable, scalable AI systems-not just prototypes or demos

Your Role & Responsibilities

  • Partner with business and technical stakeholders to understand workflows, challenges, and success metrics
  • Translate ambiguous problems into clear technical solutions, designs, and delivery plans
  • Design and build AI-powered applications using LLMs, APIs, and enterprise data systems
  • Develop production-grade backend services using Python and frameworks like FastAPI or Flask
  • Build and maintain RAG systems, including:- Document ingestion and normalization- Chunking, metadata, and embedding strategies- Vector, keyword, and hybrid search- Reranking and relevance tuning- Source attribution and grounding
  • Integrate AI solutions with SharePoint, Microsoft Graph, SQL databases, internal APIs, and business applications
  • Design secure systems that respect access control, governance, and enterprise compliance requirements
  • Build observable, reliable, and maintainable AI workflows in production environments
  • Establish evaluation frameworks for LLM systems (accuracy, groundedness, latency, completeness, and failure modes)
  • Iterate rapidly through prototypes, pilots, and production releases based on user feedback
  • Collaborate with engineering, data, security, and product teams to ensure adoption and long-term sustainability
  • Make pragmatic technology choices across Azure OpenAI, Azure AI Search, and open-source tools
  • Document architecture, decisions, trade-offs, and operational requirements

Skills & Experience You Should Possess

  • 5+ years of experience in software engineering, applied AI, or enterprise systems
  • Strong Python development experience building production-grade APIs or services
  • Hands-on experience with large language model applications
  • Experience with Azure OpenAI Service, OpenAI APIs, or similar platforms
  • Proven experience designing and building RAG systems
  • Strong understanding of prompt design, grounding, context management, and LLM limitations
  • Experience integrating with enterprise data sources, APIs, and document systems
  • Ability to work directly with business stakeholders and translate needs into working solutions
  • Experience working within secure, governed enterprise environments
  • Strong communication, systems thinking, and problem-solving skills
  • Ability to balance speed, usability, scalability, and maintainability

Bonus Points If You Have

  • Experience in a forward-deployed, consulting, or solutions engineering role
  • Hands-on experience with Azure AI Search or similar vector/hybrid search platforms
  • Experience with reranking, relevance tuning, and retrieval evaluation
  • Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • Experience with LLM evaluation frameworks and quality measurement
  • Background in building AI agents or workflow automation systems
  • Experience with Microsoft 365, SharePoint, Graph API, or Copilot Studio
  • Familiarity with Azure AI Foundry or similar tooling
  • Cloud architecture, CI/CD, observability, and production support experience in Azure

Education & Certifications You Need

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent experience)
  • Microsoft or Azure certifications are a plus but not required

What We Offer

At Trissential, we partner with leading organizations to deliver impactful solutions while ensuring our consultants are supported, valued, and set up for long-term success.

  • Competitive Compensation -$75-$85 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Offers paid time away from work
  • Fully Remote Work - Work from anywhere in the United States while collaborating with top-tier teams
  • Enterprise AI Exposure - Build real-world production AI systems integrated across enterprise platforms
  • Career Growth - Expand your expertise across cutting-edge AI technologies and enterprise architecture
  • Supportive Consulting Culture - Transparent communication, strong delivery support, and career advocacy

This role is open only to candidates authorized to work in the United States

Ready to Build AI Solutions That Actually Work?

If you're excited about solving real business problems, working directly with users, and delivering production-ready AI systems, then this is your opportunity to make a meaningful impact.

Apply today and take the next step in your applied AI engineering career with Trissential

Employment Type: OTHER

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