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Entry Level Ai Developer Jobs in Austin, TX (NOW HIRING)

Our program now includes Data Track and AI Track , preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions ...

Entry-Level Software Engineer

Austin, TX · On-site

$68K - $119K/yr

Worker Type Regular Entry-Level Software Engineer Overview AV's Specialized Exploitation ... From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our ...

New

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI engineers, data science teams, and product leaders building agentic systems to identify where ... entry-level candidates). * You are in Austin and excited about an in-person office environment ...

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Entry Level Ai Developer information

See Austin, TX salary details

$29.2K

$99.4K

$239.4K

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

As of Sep 5, 2026, the average yearly pay for entry level ai developer in Austin, TX is $99,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $105,100.00 per year, depending on experience, location, and employer.

What does an entry level AI developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What types of projects and tasks can an entry level AI developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What are the key skills and qualifications needed to thrive as an entry level AI developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Austin, TX?

The most popular types of Ai Developer jobs in Austin, TX are:

What are popular job titles related to Entry Level Ai Developer jobs in Austin, TX?

For Entry Level Ai Developer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Developer jobs in Austin, TX look for?

The top searched job categories for Entry Level Ai Developer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Ai Developer jobs?

Cities near Austin, TX with the most Entry Level Ai Developer job openings:

Infographic showing various Entry Level Ai Developer job openings in Austin, TX as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $99,384 per year, or $47.8 per hour.

Entry Level AI/Data Analyst

PCS Global Tech

Austin, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Your fast track to Tech Consulting.

A trainee-to-hire experience for STEM graduates.

Step off the campus. Step into a career.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, AI, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement