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Remote Prototyping Engineer Jobs in Michigan (NOW HIRING)

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You'll prototype, ship, monitor, and iterate on features used by real teams Our team tends to be ...

Application Engineer

Detroit, MI · On-site +1

$85K - $130K/yr

Remote in the Detroit, Michigan area On-Target Compensation: $85,000 - $130,000 ( Compensation is ... Create customer-specific application software and support full project lifecycle (prototype through ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experience in collaborating with research scientists to evaluate, prototype and productionize ...

Design Release Engineer

Auburn Hills, MI · On-site +1

$38 - $43.50/hr

Activities include coordinating CAD design, CAE, prototyping, and physical testing - as well as the ... Ability to effectively operate independently in a remote or hybrid office/remote workplace

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ... Experience with MATLAB for algorithm prototyping and research. * Experience with Docker or ...

The Experience Architect will collaborate with software developers, experience designers, product ... Develop mockups, wireframes, and clickable prototypes for rapid, iterative design, using iterative ...

Conduct design simulations using LTSpice and prove circuits using prototype bench tests * Work with ... Embraces AI as part of a modern engineering toolkit Location and travel : Fully remote role and ...

... and remote * Prepare Business Requirements and Technical Scoping Documents for client approval ... Build, develop, and test functional designs for business components and prototypes * Drive test ...

Showing results 21-40

Remote Prototyping Engineer information

What does a remote prototyping engineer do?

A Remote Prototyping Engineer is responsible for designing, building, and testing prototypes of products or systems while working from a remote location. They use digital tools to collaborate with teams, create models, and iterate on designs based on feedback. Their work is essential in transforming concepts into tangible prototypes that can be evaluated for functionality, usability, and manufacturability. This role typically requires strong technical skills, experience with prototyping software, and effective remote communication abilities.

What skills and qualifications are needed to thrive as a remote prototyping engineer?

To excel as a Remote Prototyping Engineer, you need a strong background in engineering fundamentals, rapid prototyping techniques, and experience in CAD design, typically backed by a relevant degree. Familiarity with prototyping tools such as 3D printers, CNC machines, and collaborative platforms like SolidWorks or Fusion 360 is essential; certifications in product design or manufacturing can be advantageous. Strong problem-solving skills, effective remote communication, and self-motivation are vital soft skills for success in distributed teams. These competencies enable efficient development of innovative prototypes, ensure clear collaboration, and drive project success in a remote environment.

How does a remote prototyping engineer typically collaborate with cross-functional teams while working remotely?

Remote Prototyping Engineers often work closely with product managers, designers, and developers to transform ideas into functional prototypes. Collaboration is facilitated through regular video meetings, shared digital workspaces, and version-controlled repositories for code and design assets. Effective communication and documentation are essential to ensure alignment across time zones and disciplines. By using collaborative tools like Slack, Figma, and GitHub, Remote Prototyping Engineers can efficiently iterate on prototypes and incorporate feedback from stakeholders, ensuring project momentum even in a distributed work environment.

What is the difference between Remote Prototyping Engineer vs Remote Product Designer?

AspectRemote Prototyping EngineerRemote Product Designer
Primary FocusDeveloping and testing prototypes to validate technical feasibilityDesigning user interfaces and experiences for products
Skills & CredentialsEngineering background, prototyping tools, technical knowledgeDesign skills, UX/UI tools, creativity
Work EnvironmentCollaborates with engineers and developersWorks closely with users, product managers, and developers
Industry UsageTech, hardware, software developmentTech, consumer apps, digital products

While both roles involve creating prototypes, the Remote Prototyping Engineer focuses on technical feasibility and engineering prototypes, whereas the Remote Product Designer emphasizes user experience and visual design. Understanding these differences helps in choosing the right role based on your skills and career goals.

What are the most commonly searched types of Prototyping Engineer jobs in Michigan?

The most popular types of Prototyping Engineer jobs in Michigan are:

What are popular job titles related to Remote Prototyping Engineer jobs in Michigan?

For Remote Prototyping Engineer jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Remote Prototyping Engineer jobs?

Cities in Michigan with the most Remote Prototyping Engineer job openings:

AI Engineer

Kobie Marketing

Detroit, MI • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Join a National Top Workplace
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.
Join Us from Anywhere
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with:
• Flexible Time Off to recharge when needed
• Nine Company-Wide Holidays
• A diverse suite of benefits prioritizing your growth, development, and personal well-being
Discover more about our perks and benefits here.
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role.
About the team and what we'll build together
Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.
We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams
Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.
How you will make an impact
Agent Development
  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability
  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration
  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful
Required
  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.
Strongly Preferred
  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain

Who we are As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty.
A place for all We celebrate and embrace diversity at Kobie!
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law.
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values.
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.