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Python Ai Jobs in Austin, TX (NOW HIRING)

Apple

GenAI Physical Synthesis Engineer

Austin, TX

$150K - $277K/yr

... Python AI/ML libraries (PyTorch, TensorFlow, Transformers) and MCP or similar agentic frameworks Experience developing AI agents or autonomous systems for technical domains Knowledge of prompt ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX

$150K - $277K/yr

... Python AI/ML libraries (PyTorch, TensorFlow, Transformers) and MCP or similar agentic frameworks Experience developing AI agents or autonomous systems for technical domains Knowledge of prompt ...

Victory

Senior Python Engineer

Austin, TX · On-site +1

$120K - $162K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and ... You are already using Copilot or another AI assistant and understand your role as engineer is ...

Victory

Senior Python Engineer

Austin, TX · On-site

$120K - $162K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and ... You are already using Copilot or another AI assistant and understand your role as engineer is ...

Future Secure AI

AI Engineer, Software

Austin, TX · On-site

... Python skills. • Exhibit a deep commitment to understanding user needs and meticulous attention to detail, ensuring our solutions not only meet but exceed user expectations. • Uphold and exceed ...

Victory

Senior Python Engineer (Remote)

Austin, TX · Remote

$124K - $167K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and ... You are already using Copilot or another AI assistant and understand your role as engineer is ...

Future Secure AI

AI Engineer, Software

Austin, TX · On-site

Experience using Python Why Join Us? * A high-performance culture * State-of-the-art technology ... Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy ...

Autonomize AI

ML/LLM Engineer - Applied AI

Austin, TX · On-site

... Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain ... Autonomize AI uses AI Agents to simplify some of healthcare's most complex processes, transforming ...

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Showing results 21-40

All JobsPython Ai JobsPython Ai Jobs in Austin, TX

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How much do python ai jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python ai in Austin, TX is $58.09, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $65.96 per hour, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What are the most commonly searched types of Python Ai jobs in Austin, TX? The most popular types of Python Ai jobs in Austin, TX are:
What are popular job titles related to Python Ai jobs in Austin, TX? For Python Ai jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Python Ai jobs in Austin, TX look for? The top searched job categories for Python Ai jobs in Austin, TX are:
What cities near Austin, TX are hiring for Python Ai jobs? Cities near Austin, TX with the most Python Ai job openings:
Python Ai jobs near you
Infographic showing various Python Ai job openings in Austin, TX as of July 2026, with employment types broken down into 62% Full Time, 22% Part Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

Biologist with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

Contractor

Re-posted 22 days ago

Job description

We're building a talent pool of Biology professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for biology specialists who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their computational expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as NEURON, Brian2, OpenSim, AMICI, or MNE-Python, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate computational biology package and build problems whose solution genuinely hinges on that tool's core capabilities, whether biophysical models, ODE/PDE systems, biomechanical formulations, or sequence algorithms.
  • Develop full Python solutions for each problem, providing all necessary input files, model definitions, and network configurations as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the biological context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune channel kinetics, stimulation protocols, and solver tolerances iteratively, building an understanding of how the model navigates complex neuronal, biomechanical, and systems biology problems.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Biology or a closely related field.
  • At least 2 years of hands-on experience in biology research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized computational biology software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific computational biology tools, including but not limited to NEURON, Brian2, NEST, OpenSim, AMICI, libroadrunner, MNE-Python, or Biopython, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one biology domain, such as computational neuroscience, biomechanics, or systems biology.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

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.