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Entry Level Ai Engineer Jobs in Texas (NOW HIRING)

RoviSys

Entry Level Engineer/Developer

Houston, TX · On-site

$80K - $82K/yr

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

RoviSys

Entry Level Engineer/Developer

Houston, TX

$80K - $82K/yr

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

RoviSys

Entry Level Engineer/Developer

Houston, TX · On-site

$80K - $82K/yr

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

SynergisticIT

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... For data science/data analyst/AI/machine learning positions required skills include an associate or ...

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All JobsAi Engineer JobsEntry Level Ai Engineer JobsEntry Level Ai Engineer Jobs in Texas

Entry Level Ai Engineer information

See Texas salary details

$27.9K

$64.6K

$109.9K

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

As of Aug 9, 2026, the average yearly pay for entry level ai engineer in Texas is $64,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $73,100.00 per year, depending on experience, location, and employer.

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.

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.

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 tools like Python or TensorFlow. While prior experience is not always mandatory, having relevant coursework, projects, or certifications can improve chances of securing such roles. Employers may also provide on-the-job training for candidates with strong problem-solving skills and a willingness to learn.

Is AI taking entry level ai engineer jobs?

Entry-level AI engineer jobs are growing as companies invest in artificial intelligence and machine learning technologies. However, competition remains high, and candidates with skills in programming, data analysis, and familiarity with tools like Python and TensorFlow have better prospects. Staying updated with industry trends and gaining relevant certifications can improve job opportunities in this field.

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 are the most commonly searched types of Ai Engineer jobs in Texas? The most popular types of Ai Engineer jobs in Texas are:
What are popular job titles related to Entry Level Ai Engineer jobs in Texas? For Entry Level Ai Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Engineer jobs in Texas look for? The top searched job categories for Entry Level Ai Engineer jobs in Texas are:
What cities in Texas are hiring for Entry Level Ai Engineer jobs? Cities in Texas with the most Entry Level Ai Engineer job openings:
Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $64,621 per year, or $31.1 per hour.

Power Electronics - Electrical Engineer I

Shield AI

Dallas, TX

$81K - $122K/yr

Full-time, Part-time

Re-posted 19 hours ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance.
 
We are looking for an entry-level Power Electronics Engineer who is excited to help bring X-BAT’s next-generation power systems to first flight. In this role, you will own a meaningful project directly tied to our power architecture critical path, while receiving direct mentorship from senior power and electrical engineers. We value first-principles thinking, hands-on engineering, and extreme ownership.
What you'll do:
  • Own a power electronics design that directly impacts X-BAT system performance and major flight test milestones, supported by a senior engineer who provides technical guidance and review.
  • Contribute to the full hardware lifecycle including concept development, modeling, worst-case analysis, schematic capture, simulation, prototyping, bring-up, verification, integration, and flight test support.
  • Design and analyze low-voltage and high-voltage power systems including DC-DC converters, inverters, motor controllers, battery systems, power distribution, and protection circuits.
  • Design systems across power ranges from <1 kW low-power loads to >10 kW high-power applications while balancing efficiency, thermal constraints, EMI/EMC performance, and reliability.
  • Partner with ECAD engineers on PCB layout for power density, thermal performance, EMI mitigation, and manufacturability.
  • Execute hands-on board bring-up, debug, root-cause analysis, and validation using oscilloscopes, power supplies, electronic loads, and other test equipment.
  • Support environmental, stress, and qualification testing (HALT, vibration, temperature cycling) for aerospace-grade reliability.
  • Collaborate closely with Mechanical, Embedded, Software, Production, and Aircraft teams to ensure robust system integration and clear interface ownership.
  • Drive disciplined engineering practices including documentation, risk reduction, and closing the loop between analysis and test results.
Required qualifications:
  • B.S. in Electrical Engineering or equivalent.
  • Strong technical fundamentals in circuits, electronics, and power systems.
  • Hands-on experience (coursework, labs, clubs, or internships) with power electronics such as converters, motor drivers, batteries, or high-power systems.
  • Familiarity with electrical design tools (Altium, KiCad, etc.).
  • Experience using lab equipment such as oscilloscopes, power supplies, e-loads, and multimeters.
  • Participation in an engineering team/club or hands-on project experience.
  • Ability to obtain a S//SAR level security clearance desired.
#LI-JM2
#LA

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.