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Edge Ai Engineer Jobs (NOW HIRING)

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AI Engineer-Agentic AI

Dallas, TX · On-site

$85K - $130K/yr

About the Role We are seeking a highly skilled AI Engineer with hands-on experience designing ... Opportunity to work with cutting-edge AI technologies. * Collaborative, innovative, and fast-paced ...

New

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

In this role, you will design, develop, and implement cutting-edge AI solutions that drive business ... As a Senior AI Engineer, you will work closely with cross-functional teams to identify project ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

In this role, you will design, develop, and implement cutting-edge AI solutions that drive business ... As a Senior AI Engineer, you will work closely with cross-functional teams to identify project ...

Texas State Library and Archives Commision

AI Engineer

$107K - $146K/yr

You will work closely with product, engineering, and data teams to build cutting-edge AI solutions that power next-generation applications. Key Responsibilities Design, develop, and deploy AI-powered ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Stay current with cutting-edge AI research (Generative AI, RAG, agentic frameworks). * Perform ... Programming & Frameworks: Python, FastAPI, SQL, CosmosDB, Flask, Streamlit, Chainlit * Frontend:

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · Remote

$109K - $149K/yr

In this role, you will design, develop, and implement cutting-edge AI solutions that drive business ... As a Senior AI Engineer, you will work closely with cross-functional teams to identify project ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

In this role, you will design, develop, and implement cutting-edge AI solutions that drive business ... As a Senior AI Engineer, you will work closely with cross-functional teams to identify project ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools to enhance product capabilities. * Mentor junior engineers and provide technical guidance on AI best ...

Qaurs Techno Systems LLC

AI Engineer

Charlotte, NC · On-site

$50K - $60K/yr

The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI ...

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

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 ...

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

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 ...

Avathon

AI Engineer

Pleasanton, CA

$116K - $159K/yr

About the Role Senior AI Engineer - Generative AI & LLMs At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain ...

Rite-Hite

Systems Architect - Edge AI/ML

Concord, NC · Hybrid

$226K/yr

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for ... Partner with product management and engineering teams to enable AI-driven capabilities such as ...

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing ... Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps ...

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Edge Ai Engineer information

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How much do edge ai engineer jobs pay per hour?

As of Jul 8, 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 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 are the key skills and qualifications needed to thrive as an Edge AI Engineer, and why are they important?

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.
Infographic showing various Edge Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

AI Engineer-Agentic AI

Undisclosed

Dallas, TX • On-site

$85K - $130K/yr

Contractor

PTO

Posted 5 days ago

New

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Job description

About the Role

We are seeking a highly skilled AI Engineer with hands-on experience designing, building, and deploying Agentic AI systems. The ideal candidate has expertise in developing autonomous AI agents, training and fine-tuning large language models (LLMs), and building production-ready AI workflows that solve complex business problems.

You will work closely with product, engineering, and leadership teams to develop next-generation AI solutions that leverage modern agent frameworks, retrieval systems, and advanced reasoning capabilities.


Key Responsibilities

  • Design, build, and deploy intelligent Agentic AI applications.
  • Develop multi-agent systems capable of planning, reasoning, tool usage, and autonomous task execution.
  • Fine-tune, train, and optimize large language models and domain-specific AI models.
  • Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.
  • Evaluate model performance and continuously improve accuracy, latency, and cost efficiency.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
  • Stay current with the latest advancements in Generative AI, Agentic AI, and LLM technologies.


Required Qualifications

  • 3+ years of professional software engineering experience.
  • 2+ years of experience building Generative AI or LLM-powered applications.
  • Proven experience developing Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, or similar.
  • Experience training, fine-tuning, and evaluating language models.
  • Experience deploying AI applications to cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong problem-solving and communication skills.
  • Law Firm experience preferred.


What We Offer

  • Fully remote work environment.
  • Competitive salary based on experience.
  • Flexible work schedule.
  • Opportunity to work with cutting-edge AI technologies.
  • Collaborative, innovative, and fast-paced team culture.