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Embedded Ai Engineer Jobs in Springfield, IL (NOW HIRING)

AI Automation Engineer -Remote

Springfield, IL · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Embedded Ai Engineer information

See Springfield, IL salary details

$69.4K

$152K

$172.5K

How much do embedded ai engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for embedded ai engineer in Springfield, IL is $152,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $171,500.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Springfield, IL? For Embedded Ai Engineer jobs in Springfield, IL, the most frequently searched job titles are:
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What cities near Springfield, IL are hiring for Embedded Ai Engineer jobs? Cities near Springfield, IL with the most Embedded Ai Engineer job openings:
Infographic showing various Embedded Ai Engineer job openings in Springfield, IL as of May 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $152,019 per year, or $73.1 per hour.
AI Automation Engineer -Remote

AI Automation Engineer -Remote

Quora

Springfield, IL • On-site, Remote

$202K - $234K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

About the Team and Role:

We’re hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal will be to automate as much work as possible, increasing our productivity and improving the quality of our products, decision-making, and internal processes.

You’ll work closely with teams across the organization to identify high-impact problems and solve them, continually assessing new potential as frontier model capabilities constantly improve. With access to a wide range of state-of-the-art models via Poe, and an organization focused on AI, you’ll be well placed to experiment, iterate quickly, and launch internal services.

This role is ideal for an engineer who’s curious, pragmatic, and motivated by real-world impact - not just research or prototypes. You’ll lay the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation.

Responsibilities:
  • Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
  • Use AI as much as possible to automate your own process of creating this software
  • Collaborate with teams across the business to understand pain points and identify high-impact automation or process improvement opportunities
  • Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
  • Supervise the choices AI is making in areas like architecture, libraries, or technologies, and be ready to debug complex systems across frontend and backend services when AI cannot
  • Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
  • Work cross-functionally to ensure tools are adopted and deliver obvious value
  • Stay updated on the latest models and tools, and apply that knowledge to your work
Minimum Requirements:
  • Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • Experience creating LLM-backed tools involving prompt engineering and automated evals
  • 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript
  • Excellent debugging skills and the ability to manage multiple projects simultaneously
  • High level of ownership and accountability, especially with sensitive or business-critical data
  • Strong communication skills and a collaborative mindset
  • Comfortable working in a fast-paced, sometimes ambiguous environment with shifting priorities
  • Experience working cross-functionally with teams outside of product development
  • A natural collaborator who enjoys being a partner and creating utility for others

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $155,656 - $225,160 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 - $218,588 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice