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

The Internal AI Center of Excellence is responsible for enabling engineering teams to apply AI ... Strong programming experience in Python , TypeScript/JavaScript , or similar production languages.

Develop and support integrations using Workato, Python, Oracle Cloud, REST APIs, and related ... Work with UI developers, architects, and integration engineers to ensure AI solutions align with ...

Develop and support integrations using Workato, Python, Oracle Cloud, REST APIs, and related ... Work with UI developers, architects, and integration engineers to ensure AI solutions align with ...

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Role Overview We are looking to hire 3 Agentic AI Developers to design, build, and deploy ... Strong Python / Node.js skills * LLM frameworks: LangChain, LlamaIndex, or similar * OpenAI ...

Agentic AI Developer

Addison, TX

$100K - $117K/yr

Role Overview We are looking to hire 3 Agentic AI Developers to design, build, and deploy ... Strong Python / Node.js skills * LLM frameworks: LangChain, LlamaIndex, or similar * OpenAI ...

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Role Overview We are looking to hire 3 Agentic AI Developers to design, build, and deploy ... Strong Python / Node.js skills * LLM frameworks: LangChain, LlamaIndex, or similar * OpenAI ...

Principal Software Engineer (Python)

Dallas, TX · On-site +1

$133K - $179K/yr

Develop High-Performance AI Services: Utilize Git or similar, Unix command line, Python, FastAPI ... Expert Python/FastAPI Developer: Proven experience in designing, scaling, and maintaining existing ...

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 ...

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 ...

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 ...

Showing results 21-40

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 Prosper, TX is $53.68, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $60.96 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 Prosper, TX?

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Cities near Prosper, TX with the most Python Ai Developer job openings:

Infographic showing various Python Ai Developer job openings in Prosper, TX as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $111,664 per year, or $53.7 per hour.

Agentic AI Developer IV

RealPage, Inc.

Richardson, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 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

Overview

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. 

Responsibilities
  • 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. 

  • 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. 

  • 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 
  • 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. 

  • 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 
  • 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 recommendations 
    • Avoidance of vendor lock-in where practical 
    Qualifications
    • Typically 6+ years of software engineering experience, with meaningful hands-on experience building production applications or internal platforms. 
    • 2+ years of applied AI, LLM, Generative AI, or agentic workflow experience
    • Strong programming experience in PythonTypeScript/JavaScript, or similar production languages. 
    • Experience designing and building cloud-native applications or services in Azure, GCP, or AWS
    • Practical experience with:  
    • LLM-based application development 
    • Prompt engineering and prompt versioning 
    • Tool calling / function calling 
    • RAG architectures 
    • Vector databases or semantic retrieval 
    • Multi-step workflow or agent orchestration 
    • Familiarity with modern software engineering practices, including:  
    • CI/CD 
    • Git-based development 
    • Automated testing 
    • API design 
    • Observability and logging 
    • Experience using or enabling AI coding tools such as GitHub Copilot, Cursor, Windsurf, Codex, or similar tools
    • Ability to work directly with engineering teams to understand needs, prototype solutions, and drive adoption. 
    • Strong communication skills with the ability to explain AI concepts and implementation patterns clearly. 

    Nice-to-Have Skills / Abilities 

    • Experience building internal developer platforms, engineering productivity tools, or enablement frameworks. 
    • Experience with agent frameworks or orchestration tools such as LangGraph, OpenAI Agents SDK, Google ADK, Semantic Kernel, CrewAI, or similar frameworks
    • Experience with evaluation frameworks such as OpenAI Evals, LangSmith Evals, RAGAS, or custom evaluation harnesses
    • Experience with browser automation or workflow automation tools such as Playwright
    • Experience with knowledge management, internal documentation systems, or enterprise search. 
    • Experience working in environments with privacy, compliance, or regulated-data considerations. 
    • Background in enterprise software, PropTech, fintech, or other complex business domains. 
    • Experience supporting AI adoption programs, engineering champions, office hours, or internal technical enablement. #LI-JK1

    SALARY AND BENEFITS

    • RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
    • Health, dental, and vision insurance.
    • Retirement savings plan with company match.
    • Paid time off and holidays.
    • Professional development opportunities.
    • Performance-based bonus based on position. #LI-JK1

    Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

    Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

    Pay RangeUSD $159,100.00 - USD $270,900.00 /Yr.Employment Type: OTHER

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