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Ai Engineer Jobs (NOW HIRING)

AI Engineer

Charlotte, NC · On-site

$50K - $60K/yr

Experience: 5 + Years AI Engineer Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional ...

The AI Engineer designs, develops, tests, and improves AI-enabled systems that support client operations, business processes, and organizational Knowledge Management. This role transforms business ...

AI Engineer

Manhattan, NY · On-site

$148 - $169/hr

AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real ...

Posted today

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

& Responsibilities Persistent Systems is looking for an AI Engineer to design, build, and deploy secure AI applications that help employees find information, automate work, analyze data, and make ...

AI Engineer

San Diego, CA · On-site

$107.90 - $195.05/hr

The AI engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the ...

New

Role: AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join our team. The ideal candidate will have hands-on experience building and deploying AI/ML ...

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

& Responsibilities Persistent Systems is looking for an AI Engineer to design, build, and deploy secure AI applications that help employees find information, automate work, analyze data, and make ...

Seeking an AI Engineer to build and integrate AI solutions. Key Requirements: * AI/ML development * Python and AI frameworks * LLM integration and prompting * APIs and pipelines * Collaboration ...

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting top-tier professionals with exceptional ...

Role: AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join our team. The ideal candidate will have hands-on experience building and deploying AI/ML ...

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

AI Engineer Must Have Technical/Functional Skills • 48+ years of experience in software engineering, ML engineering, or AI solution development • Strong proficiency in Java and experience • ...

They are looking for an AI Engineer to work in their Learning Experience Lab, where the role involves developing new AI products and features to enhance educational experiences. Responsibilities ...

OH · On-site

Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...

AI Engineer

San Mateo, CA · On-site

$110 - $150/hr

About P-1 AI At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie's anthropomorphism so that he fits seamlessly into existing engineering teams and ...

New

AI Engineer

Manhattan, NY · On-site

$133 - $166/hr

Persistent Systems is looking for an AI Engineer to design, build, and deploy secure AI applications that help employees find information, automate work, analyze data, and make better decisions. You ...

AI Engineer

Manhattan, NY

$133K - $166K/yr

Persistent Systems is looking for an AI Engineer to design, build, and deploy secure AI applications that help employees find information, automate work, analyze data, and make better decisions. You ...

AI Engineer Location: Sunrise, FL Job Type: Contract (Long Term) Experience: 5+ years Skills - JavaScript, TypeScript, AI, React / React JS Job Overview Our client is building the internal developer ...

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 ...

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

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 ...

Showing results 21-40

Ai Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.
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Infographic showing various 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 $101,752 per year, or $48.9 per hour.

AI Engineer

Qaurs Techno Systems LLC

Charlotte, NC • On-site

$50K - $60K/yr

Full-time

Re-posted 28 days ago


Job description


Experience: 5 + Years
AI Engineer Job Summary:
We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. 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 agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications.
Key Responsibilities:
* AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
* LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.
* Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.
* Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
* System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.
* Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions.
* Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions. Must-Have Qualifications:
* Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
* Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).
* LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).
* Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).
* MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.
* Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation. Good-to-Have (Optional but highly valued):
* Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python).
* Familiarity with containerization and orchestration (Docker, Kubernetes).
* Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).