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Edge Ai Engineer Jobs (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... edge AI and cloud-native technologies. This position is based onsite at a client location in the ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... edge AI and cloud-native technologies. This position is based onsite at a client location in the ...

F2 AI

Applied AI Engineer

San Francisco, CA · On-site

Implement and adapt cutting-edge AI research to build systems that understand financial context and business concepts * Design retrieval pipelines that extract and synthesize insights from ...

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is ...

Avathon

AI Engineer

Pleasanton, CA · On-site

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...

Avathon

AI Engineer

Pleasanton, CA · On-site

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking ... As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ...

Ignite Digital

AI Engineer

San Diego, CA · On-site

This role combines expertise in machine learning and software engineering to deliver cutting-edge AI solutions. You will own the end-to-end machine learning lifecycle, integrate models into ...

CoreStory

AI Engineer

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... Access to cutting-edge AI models, research, and infrastructure.

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Edge Ai Engineer information

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$25

$53

$76

How much do edge ai engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for edge ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is an Edge AI Engineer?

An Edge AI Engineer is a professional who designs, develops, and deploys artificial intelligence (AI) applications that run directly on edge devices, such as smartphones, IoT sensors, cameras, or embedded systems, rather than relying solely on cloud computing. Their work involves optimizing machine learning models for efficiency and low power consumption, ensuring real-time processing, and addressing privacy or connectivity concerns. Edge AI Engineers typically have expertise in embedded systems, AI frameworks, and hardware acceleration technologies.

What are the key skills and qualifications needed to thrive as an Edge AI Engineer?

To thrive as an Edge AI Engineer, you need strong skills in machine learning, embedded systems, and software development, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with edge computing platforms (like NVIDIA Jetson or Google Coral), programming languages such as Python and C++, and experience with frameworks like TensorFlow Lite or ONNX are essential. Problem-solving ability, adaptability, and effective communication help you address unique deployment challenges and collaborate with cross-functional teams. These skills are vital to efficiently developing, optimizing, and deploying AI models on resource-constrained edge devices for real-world applications.

What are some common challenges Edge AI Engineers face when deploying models on resource-constrained devices?

Edge AI Engineers often encounter challenges such as optimizing machine learning models to run efficiently on devices with limited processing power, memory, and battery life. Balancing model accuracy with latency and resource constraints is a key consideration, as is ensuring robust security and data privacy for on-device processing. Additionally, engineers must frequently collaborate with hardware teams to tailor solutions for specific chipsets and work with software engineers to integrate models seamlessly into existing edge applications.

What cities are hiring for Edge Ai Engineer jobs?

Cities with the most Edge Ai Engineer job openings:

What are popular job titles related to Edge Ai Engineer jobs?

For Edge Ai Engineer jobs, the most frequently searched job titles are:

Infographic showing various Edge Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

AI Engineer

Salt Lake City, UT • On-site

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

Contractor

Re-posted 3 days ago

Job description

Job Title: Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients, solving complex business and technical challenges. You’ll collaborate with a high-performing team, contribute to impactful client solutions, and gain hands-on experience with cutting-edge AI and cloud-native technologies. This position is based onsite at a client location in the Salt Lake City, UT area! Your future duties and responsibilities How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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