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Python Ai Developer Jobs in Dallas, TX (NOW HIRING)

RealPage, Inc.

Agentic AI Developer IV

Richardson, TX

$159K - $270K/yr

We are seeking an AI Developer IV to help design, build, and scale internal AI solutions that improve engineering productivity, accelerate delivery, and support RealPage's AI adoption goals. This ...

Sally Beauty

Sr Enterprise AI Developer

Plano, TX

Sr. Enterprise AI Developer This is a hybrid position that requires working from our Legacy West ... Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#) * Experience ...

CosmoProf

Sr Enterprise AI Developer

Plano, TX · On-site

Sr. Enterprise AI Developer This is a hybrid position that requires working from our Legacy West ... Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#) * Experience ...

CosmoProf

Sr Enterprise AI Developer

Plano, TX · On-site

Sr. Enterprise AI Developer This is a hybrid position that requires working from our Legacy West ... Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#) * Experience ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to ...

Sally Beauty

Sr Enterprise AI Developer

Plano, TX

Sr. Enterprise AI Developer This is a hybrid position that requires working from our Legacy West ... Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#) * Experience ...

CosmoProf

Sr Enterprise AI Developer

Plano, TX · On-site

Sr. Enterprise AI Developer This is a hybrid position that requires working from our Legacy West ... Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#) * Experience ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to ...

Vistra Energy

Lead Developer - Python , Gen AI

Irving, TX · On-site

$120 - $150/hr

... AI. • Data centric engineering experience building services and tools within a data engineering organization. A "data-first" Python developer who understands the challenges of enterprise data ...

TXU Energy

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

... AI. Data centric engineering experience building services and tools within a data engineering organization. A "data-first" Python developer who understands the challenges of enterprise data systems.

Vistra Energy

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

... AI. Data centric engineering experience building services and tools within a data engineering organization. A "data-first" Python developer who understands the challenges of enterprise data systems.

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All JobsPython Ai Developer JobsPython Ai Developer Jobs in Dallas, TX

Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ai developer in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What are popular job titles related to Python Ai Developer jobs in Dallas, TX?

For Python Ai Developer jobs in Dallas, TX, the most frequently searched job titles are:

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The top searched job categories for Python Ai Developer jobs in Dallas, TX are:

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Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Agentic AI Developer IV

RealPage, Inc.

Richardson, TX

$159K - $270K/yr

Full-time

Re-posted 6 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

226th of 246 rated software companies

Job description

RealPage is accelerating the adoption of Generative AI and agentic engineering practices across its technology organization. The Internal AI Center of Excellence is responsible for enabling engineering teams to apply AI effectively, safely, and consistently across the software development lifecycle. 

We are seeking an AI Developer IV to help design, build, and scale internal AI solutions that improve engineering productivity, accelerate delivery, and support RealPage’s AI adoption goals. This role will focus on developing reusable AI patterns, agentic workflows, internal developer tools, reference implementations, and enablement assets that help engineering teams move from experimentation to repeatable production use. 

The ideal candidate is a hands-on AI engineer with strong software development experience, practical knowledge of LLMs and agentic systems, and the ability to partner with engineering teams to turn AI concepts into usable internal capabilities. 


  1. Internal AI Solution Development

Design and build internal AI solutions that support engineering productivity and software delivery, including: 

  • AI-powered developer workflows and assistants 
  • Agentic SDLC automation patterns 
  • Internal tools for code analysis, documentation, testing, migration, and engineering support 
  • Reusable prompt, tool-calling, and workflow patterns 
  • Reference implementations that can be adopted by engineering teams 

Develop solutions that are practical, scalable, maintainable, and aligned with RealPage engineering standards. 

  1. Agentic Workflow and Platform Enablement

Build reusable capabilities that help teams adopt AI consistently across the organization, including: 

  • Multi-step agentic workflows 
  • Tool-calling and orchestration patterns 
  • RAG-based internal knowledge solutions 
  • Shared SDKs, templates, and integration examples 
  • Reusable components for copilots, agents, and AI-enabled engineering workflows 

Partner with senior architects and engineering leaders to establish patterns that can scale beyond one team or use case. 

  1. Engineering Team Enablement

Work directly with engineering teams, champions, and internal stakeholders to help them adopt AI effectively. 

Responsibilities include: 

  • Pairing with teams on AI use cases and implementation patterns 
  • Providing technical guidance on LLM, RAG, and agentic workflow design 
  • Supporting proof-of-concept efforts and helping mature them into repeatable practices 
  • Creating playbooks, examples, templates, and documentation for internal engineering use 
  • Participating in office hours, workshops, and AI enablement sessions 
  1. AI Evaluation, Quality, and Responsible Use

Help define and apply practical evaluation and governance practices for internal AI solutions, including: 

  • Prompt and workflow evaluation 
  • Accuracy, relevance, and usefulness testing 
  • Safety and responsible AI considerations 
  • PII and sensitive-data handling 
  • Logging, observability, and feedback loops 
  • Human-in-the-loop review patterns where appropriate 

Ensure internal AI solutions are developed with quality, security, privacy, and reliability in mind. 

  1. Delivery and Cross-Functional Collaboration

Partner with engineering leadership, product teams, architecture, security, and other stakeholders to identify and deliver high-impact AI use cases. 

Responsibilities include: 

  • Translating engineering productivity needs into AI-enabled solutions 
  • Supporting roadmap-aligned internal AI initiatives 
  • Contributing to adoption and capacity-improvement goals 
  • Helping measure the impact of AI enablement efforts 
  • Communicating technical concepts clearly to engineering and non-engineering audiences 
  1. Performance, Reliability, and Cost Awareness

Design AI solutions with practical performance and cost considerations, including: 

  • Model selection and routing 
  • Prompt and context optimization 
  • Caching and retrieval efficiency 
  • Latency and reliability considerations 
  • Build-vs-buy

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