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Entry Level Ai Software Engineer Jobs in Austin, TX

AI Software Engineer Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days ) Duration: Long Term We are seeking an experienced AI Software Engineer to join a team building next ...

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains.

We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains.

We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains.

Software Engineer

Lockhart, TX ยท On-site

$130K - $165K/yr

About the Role Eden Tech is seeking a hands-on Software Engineer to support embedded sensing, control systems, and edge AI deployment for our Reverse Osmosis Centrifuge platform. This role will work ...

AI Architect (Technical Staff)

Austin, TX

$65.75 - $79.25/hr

Agentic AI Architect (Technical Staff)The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we ...

Senior Software Engineer - Remote

Austin, TX ยท Remote

$121K - $160K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or ...

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Entry Level Ai Software Engineer information

See Austin, TX salary details

$23.8K

$103.9K

$187.3K

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

As of Aug 11, 2026, the average yearly pay for entry level ai software engineer in Austin, TX is $103,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $118,900.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in Austin, TX? The most popular types of Ai Software Engineer jobs in Austin, TX are:
What are popular job titles related to Entry Level Ai Software Engineer jobs in Austin, TX? For Entry Level Ai Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Entry Level Ai Software Engineer jobs? Cities near Austin, TX with the most Entry Level Ai Software Engineer job openings:
Infographic showing various Entry Level Ai Software Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $103,941 per year, or $50 per hour.

AI Software Engineer

Purview Services

Austin, TX โ€ข On-site

Other

Posted 11 days ago


Job description

Position: AI Software Engineer

Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days )

Duration: Long Term

We are seeking an experienced AI Software Engineer to join a team building next-generation AI-powered applications and platforms. This role is ideal for engineers who combine strong software engineering fundamentals with hands-on experience developing and deploying Generative AI solutions in production environments.

What You'll Do

  • Design, build, and deploy scalable AI-powered applications and services
  • Develop and optimize Retrieval-Augmented Generation (RAG) systems
  • Build AI agents, workflow automation solutions, and intelligent assistants
  • Integrate LLMs such as OpenAI, Claude, Gemini, and open-source models into production systems
  • Design APIs, microservices, and cloud-native architectures
  • Implement vector database solutions and knowledge retrieval pipelines
  • Establish monitoring, evaluation, guardrails, and observability for AI systems
  • Collaborate with cross-functional teams to deliver secure, reliable, and scalable solutions

Required Qualifications

  • Strong software engineering background with Python, Java, Go, or TypeScript
  • Experience building production-grade AI/GenAI applications
  • Hands-on experience with:
    • OpenAI, Claude, Gemini, Llama, or similar LLMs
    • LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or related frameworks
    • RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Knowledge of APIs, distributed systems, microservices, and scalable architecture
  • Strong debugging, testing, and code review skills

Preferred Qualifications

  • AI Agent development and orchestration
  • Prompt engineering and evaluation frameworks
  • LLM observability and monitoring tools
  • MLOps, Kubernetes, Docker, CI/CD, and Infrastructure as Code
  • Experience with enterprise AI deployments and governance