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

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health ... is to automate with AI before adding manual process or headcount * Obsession with developer ...

Senior AI Engineer

Austin, TX · On-site

$103K - $142K/yr

About the Role: We're looking for a Senior AI Engineer to join our Engineering team. This person ... Strong expertise in Python AI ecosystem, specifically: * FastAPI * LangGraph * Proven experience ...

Senior AI DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health ... is to automate with AI before adding manual process or headcount * Obsession with developer ...

AIML (Gen AI) - Claud and Python

Austin, TX · On-site

$49.75 - $68.50/hr

AIML (Gen AI) - Claud and Python Location: Austin, TX onsite Open For Both Contract and FTE ... Strong backend engineering experience (e.g., Python, APIs, cloud infrastructure). * Hands-on ...

AI Engineer

Austin, TX · On-site

$70K - $130K/yr

Roles & Responsibilities AI Engineer (Backend TypeScript or Python..... the team is leaning to Typescript) -Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production API ...

They are seeking an ML/AI Engineer who will be responsible for developing and deploying machine ... Responsibilities : • Develop, deploy, and test ML/AI software tools. • Use Python, JavaScript ...

AI platform/developer tooling, evaluation & observability frameworks, AI security & guardrails Mandatory Skills Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production ...

Python Developer - (Entry Level)

Austin, TX · On-site

$49.75 - $68.50/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... AI/Machine learning Positions REQUIRED SKILLS Associate or Bachelors degree or Masters degree in ...

Python Developer

Austin, TX · On-site

$49.75 - $68.50/hr

... Core Python Good grasp of Web Frameworks Object Relational Mappers Road to Data Science Machine ... AI Deep Learning Understanding of Multi-Process Architecture Analytical skills Education ...

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Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for python ai developer in Manor, TX is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $71.78 per hour, depending on experience, location, and employer.

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.

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

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.

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 job categories do people searching Python Ai Developer jobs in Manor, TX look for? The top searched job categories for Python Ai Developer jobs in Manor, TX are:
What cities near Manor, TX are hiring for Python Ai Developer jobs? Cities near Manor, TX with the most Python Ai Developer job openings:
Senior AI DevOps Engineer

Senior AI DevOps Engineer

Roku

Austin, TX • Remote

$128K - $165K/yr

Other

Posted 9 days ago


Job description

About the team 

Join a high-performing, innovative team that plays a pivotal role in Roku's mission to be the best TV streaming platform in the world. Our team is responsible for delivering intuitive, high-quality mobile applications that enhance the way millions of users interact with Roku devices globally. We pride ourselves on creating products that "just work" - seamlessly and effortlessly. This commitment to excellence is driven by a collaborative, inclusive, and results-oriented culture where your contributions will directly impact the user experience of millions. If you're passionate about building products that feel magical and intuitive, this is the team for you.

About the role 

The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your role will use AI to design and build a completely autonomous, self-healing CI/CD and QA automation pipeline for multiple products with millions of users.  You treat AI as your primary design tool not an add-on.  Every system you build should minimize human intervention, from code push to app store submission. You'll own CI Pipeline Architecture: the path from git push to a green or red signal. Your job is to make that path fast, reliable, and cheap. That includes QA Automation & Device Orchestration: the software systems that schedule, monitor, and recover the test infrastructure.

What you'll be doing 
  • Design and maintain CI/CD pipelines for iOS and Android on GitLab CI
  • Architect pipeline stages for fail-fast execution: cheapest checks first (lint, compile, static analysis), expensive checks last (device farm tests)
  • Build smart test routing: analyze MR diffs to determine which tests need physical devices and which can run on emulators, so 80% of MRs never touch the device farm
  • Build flaky test detection and quarantine systems.  Classify failures as infrastructure-caused vs. code-caused so engineers trust the signal
  • Automate release mechanics: code signing, versioning, TestFlight/Play Console uploads, dSYM and mapping file management.  The goal is zero manual steps between merge and app store submission
  • As agent-authored MR volume grows, ensure pipelines absorb the increase without degrading speed or starving human-authored MRs of resources
  • Build the device reservation and orchestration system that assigns devices to CI jobs, prevents contention, and maximizes utilization without manual scheduling
  • Design self-healing automation: health checks detect unresponsive devices, trigger remote recovery via API, and re-register them no human intervention required
  • Define the device compatibility matrix which firmware/model combinations require real hardware, and which can run on emulators
  • Implement priority-based test routing: device-touching MRs get farm time, UI-only MRs never queue for a device
  • Use AI to identify failure patterns, predict infrastructure issues, and continuously optimize pipeline performance 
Were excited if you have 
  • 5+ year's operating CI/CD infrastructure at scale, preferably GitLab CI
  • Ability to travel up to 20%
  • Deep understanding of mobile build systems (Xcode/xcodebuild, Gradle) and mobile-specific CI challenges (code signing, provisioning, multi-platform builds)
  • Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health monitors, pipeline analytics dashboards
  • Advanced proficiency with AI-assisted development (Copilot, Claude Code, Cursor, or equivalent) you use AI as your default approach to writing code, building systems, and solving infrastructure problems
  • Experience designing autonomous, self-healing systems that detect, diagnose, and recover from failures without human intervention
  • AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount
  • Obsession with developer experience.You measure your success by how fast and reliably engineers get feedback, not by how complex your infrastructure is
  • Data-driven decision making.  You measure failure rates, waste rates, device utilization, and pipeline duration and you use those numbers to prioritize your work

Preferred Qualifications 

  • Experience with infrastructure-as-code (Terraform, Ansible, or equivalent) for managing cloud and on-premises infrastructure
  • Working knowledge of WiFi and BLE protocols enough to understand why tests that exercise radio communication behaves differently from pure software tests
  • Experience with mobile test automation frameworks (XCUITest, Espresso, Appium) not to write tests, but to understand what they need from infrastructure
  • Experience scaling CI for high-volume, automated code generation (agentic engineering, bot-authored MRs) 
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