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Entry Level Ai Engineer Jobs (NOW HIRING)

Simulmedia

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

Simulmedia

AI Product Specialist

New York, NY · On-site

$50K - $60K/yr

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

Simulmedia

AI Product Specialist

New York, NY

$50K - $60K/yr

... entry-level AI Product Specialist to join our Product organization. This role is about people and adoption first. You'll help teams across the whole company, not just Product and Engineering ...

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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 Sep 2, 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.

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 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 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.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.
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Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Remote entry level Java SPring boot developer/ML/AI engineer

SynergisticIT

Columbia, SC

$42.75 - $55.25/hr

Full-time

Re-posted 23 days ago

Job description

SynergisticIT Job Placement Program (JOPP)

If your applications disappear into a black hole, you're experiencing the modern hiring funnel. Most resumes never reach a hiring manager. They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives. That's why "I applied a lot" often leads to silence. The fix is not more applications. The fix is improving what your application communicates in the first 10 seconds.

SynergisticIT's JOPP is built to help you do exactly that. Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more. Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage. The program's purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers.

Why you may not be getting replies

  • Your resume lacks stack clarity (recruiters can't quickly see your fit)
  • Projects look like tutorials (no depth, no real-world features, no measurable outcomes)
  • Skills are scattered (no coherent narrative: "What role are you targeting?")
  • You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL)
  • You're not speaking the language of the job description

SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. JOPP is positioned as a job placement program—not a training-only bootcamp—because it includes the support that many programs skip: preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.

Target roles and stacks (varied but intentional)

Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system.

Why JOPP is different

Many bootcamps sell hope with flashy marketing and "guarantees" that come with fine print. JOPP positions itself around outcomes: building job-ready capability and supporting candidates through the job search. SynergisticIT also notes that roughly 30% of candidates entering JOPP previously tried bootcamps, university programs, or Udemy/Coursera paths but didn't get hired—because those programs focused on learning, not job placement execution.

Ideal candidates for response-building support

Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role. SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).

  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact Us (Fill the Form): https://www.synergisticit.com/contact-us/

If recruiters aren't responding, it's not the end—it's feedback. And you can fix it with the right plan.

SynergisticIT logo

About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: “Understanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010

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