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Remote Backend Engineer Jobs in Minnesota (NOW HIRING)

CrashPlan

Full-Stack Software Engineer

Minneapolis, MN · On-site +1

NOTE - We are considering remote Canada and US candidates. US candidates must be located in one of ... In this role, you will be focusing on front and back end development working on our custom built ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $168K/yr

Build and enhance cloud-native backend services and APIs using Azure, AWS, or GCP to support ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $167K/yr

Build and enhance cloud-native backend services and APIs using Azure, AWS, or GCP to support ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Emergent Software

Lead Software Engineer

Minneapolis, MN · On-site +1

$140K - $160K/yr

This is a remote position. Eligible candidates must currently reside in the US and authorized to ... Experience working across multiple backend languages such as C#, Java, Go, Python, Ruby, Node.js, ...

skywater

CAD Engineer - Staff (PDK)

Minneapolis, MN · On-site +1

... given to remote location. The Electronic Design Automation (EDA) engineer will collaborate ... of front to back-end IC design flows and manufacturing through DRC development, analysis ...

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Remote Backend Engineer information

What are Remote Backend Engineers?

Remote Backend Engineers are software developers who specialize in building and maintaining the server-side logic, databases, and APIs of web applications, while working from a location outside of a traditional office environment. They focus on ensuring that the application's data and processes function smoothly, securely, and efficiently. Working remotely, they collaborate with teams using digital tools to manage projects, communicate, and deploy code. This role requires strong programming skills, problem-solving abilities, and the discipline to work independently.

What is the difference between Remote Backend Engineer vs Remote Software Developer?

AspectRemote Backend EngineerRemote Software Developer
Required CredentialsBachelor's in CS or related field, often with backend-specific certificationsBachelor's in CS or related field, with general programming certifications
Work EnvironmentFocus on server-side, database, and API developmentDevelops applications across front-end and back-end, often full-stack
Employer & Industry UsageTech companies, startups, SaaS providersTech, finance, healthcare, and various industries
Search & Comparison IntentLooking for specialized backend rolesSeeking broader software development roles

The main difference is that a Remote Backend Engineer specializes in server-side development, APIs, and databases, while a Remote Software Developer may work across both front-end and back-end tasks. Backend Engineers focus more on infrastructure and data management, whereas Software Developers have a broader scope in application development.

What are some common challenges Remote Backend Engineers face when collaborating with distributed teams?

Remote Backend Engineers often work with colleagues across different time zones and cultures, which can make real-time communication and quick problem-solving more challenging. They may need to rely heavily on written documentation, asynchronous communication tools, and clear code reviews to ensure everyone stays aligned. Proactively reaching out, maintaining regular updates, and participating in virtual standups or sprint meetings are key strategies to overcome these challenges and foster effective teamwork.

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

To thrive as a Remote Backend Engineer, you need strong programming skills in languages like Java, Python, or Node.js, along with a solid understanding of database management and software architecture. Familiarity with cloud platforms (such as AWS or Azure), version control systems (like Git), and CI/CD pipelines is typically required, and certifications in cloud computing or backend frameworks can be advantageous. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial soft skills for remote collaboration and project delivery. These competencies enable efficient development, seamless teamwork, and the effective building and maintenance of scalable backend systems in a distributed work environment.
What are the most commonly searched types of Backend Engineer jobs in Minnesota? The most popular types of Backend Engineer jobs in Minnesota are:
What are popular job titles related to Remote Backend Engineer jobs in Minnesota? For Remote Backend Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Backend Engineer jobs in Minnesota look for? The top searched job categories for Remote Backend Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Backend Engineer jobs? Cities in Minnesota with the most Remote Backend Engineer job openings:
Remote Backend Engineer jobs near you
Infographic showing various Remote Backend Engineer job openings in Minnesota as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.
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

Posted 24 days ago

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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