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Entry Level Ai Engineer Jobs (NOW HIRING)

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

AI Engineer (Entry-Level) - Agents & Experimentation For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help ...

New York Life

Associate - AI Engineer

Manhattan, NY

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are passionate about artificial intelligence and software engineering. In this role, you will work ...

galore staffing

Join Galore Creative as an Entry-Level AI Content Writer and Ignite Your Career in the Exciting ... Work side-by-side with seasoned AI engineers and content creators to craft compelling, informative ...

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex ...

Targeted Victory

Junior AI Engineer

Arlington, VA · On-site

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex ...

Targeted Victory

Junior AI Engineer

Arlington, VA · Hybrid

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us remain on the cutting edge. This role is suited to individuals who enjoy working on complex problems ...

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Entry Level Ai Engineer information

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$30K

$69.4K

$118K

How much do entry level ai engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for entry level ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional experience.

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

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry-level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

What does an Entry Level AI Engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
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Entry Level Ai Engineer jobs near you
AI Engineer (Entry-Level)

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

$20 - $23/hr

Full-time

Posted 5 days ago

Job description

AI Engineer (Entry-Level) - Agents & Experimentation
For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help people stay connected by providing expert advice, reliable repair services, and device protection across all their technology.
We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by doing, thrives in ambiguity, and is excited about experimenting with cutting-edge AI models and tools.
You will work closely with cross-functional teams to turn early ideas into working prototypes and explore where AI can create real operational impact.
What You'll Do
  • Build and deploy AI agents for internal tools and customer-facing use cases
  • Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
  • Rapidly prototype ideas, test performance, and iterate based on results
  • Integrate AI models with APIs, workflows, and business systems
  • Research and apply new AI tools, libraries, and agent frameworks as they emerge
  • Collaborate with teams to identify opportunities where AI can improve efficiency or automation

What We're Looking For
  • Bachelor's degree in Computer Science, Engineering, or related field (completed or in progress)
  • Strong programming skills, preferably in Python
  • Experience working with APIs and basic backend integration
  • Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
  • High ownership mindset - able to take vague problems and build solutions independently
  • Comfortable working in fast-changing environments with minimal structure
  • Strong problem-solving and experimentation mindset

Nice to Have
  • Experience building personal AI projects, bots, or automation tools
  • Familiarity with LLM APIs, prompt engineering, or agent frameworks
  • Exposure to cloud platforms or deployment tools
  • GitHub portfolio or live projects

Note: AI Projects Portfolio Request
Please prepare a portfolio showcasing the AI projects completed so far. The portfolio should include a brief description of each project, its purpose, key features, tools/technologies used, and the current status or outcomes. This will help provide a clear overview of the work completed to date.
uBreakiFix is an equal-opportunity employer, dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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