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

Python (preferred) * C# / .NET * Experience working with: * APIs, web services, and backend logic ... An AI-first developer who has built real AI applications * Comfortable working in an early-stage ...

New

AI Developer

Austin, TX ยท On-site

$196K - $265K/yr

AI Developer The Software Engineering team delivers next-generation software application ... in Python/Ansible/ Kubernetes Desirable Requirements Bachelor's or master's degree in computer ...

AI Developer

Austin, TX ยท On-site

$196K - $265K/yr

AI Developer The Software Engineering team delivers next-generation software application ... Python/Ansible/ Kubernetes Desirable Requirements โ€ข Bachelor's or master's degree in computer ...

AI Developer (Austin)

Austin, TX ยท On-site

$7K - $9K/mo

The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer ... Python development. - Experience with building and consuming REST APIs and working with data ...

Generative AI Developer

Austin, TX ยท On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Generative AI Developer

Austin, TX ยท On-site

$104K - $152K/yr

Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines. * Review and advise on infrastructure approaches ...

Senior AI Engineer

Austin, TX ยท 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 Engineer

Austin, TX ยท 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 ...

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Python Ai Developer information

See Leander, TX salary details

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$56

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How much do python ai developer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python ai developer in Leander, TX is $56.01, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

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.

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 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.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
What job categories do people searching Python Ai Developer jobs in Leander, TX look for? The top searched job categories for Python Ai Developer jobs in Leander, TX are:
What cities near Leander, TX are hiring for Python Ai Developer jobs? Cities near Leander, TX with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Leander, TX as of May 2026, with employment types broken down into 56% Full Time, 41% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $116,507 per year, or $56 per hour.

Full-time

Posted 22 days ago


Job description

Austin, TX.
Rate: Standard as per market.
This requirement is having skills combination Python with Gen AI & SAP BTP also. Full JD below.
JD:
  • Design, govern, and scale SAP BTP-based enterprise solutions, while embedding GenAI into workflows, operations, and user experiences
  • The role requires platform architecture, cloud-native design, integration, security, and GenAI-driven automation
  • Hands-on experience with SAP BTP architecture and ability to embed GenAI and agentic AI capabilities into SAP-centric enterprise landscape

Skills:
SAP BTP & Cloud
  • 8-10+ years of experience in SAP or enterprise cloud architecture
  • Strong hands-on experience with SAP BTP services
  • Solid understanding of cloud-native and microservices architecture
  • Experience with SAP security and identity concepts

GenAI & AI Architecture
  • Practical experience designing or implementing GenAI solutions
  • Strong understanding of:
    • LLMs and prompt engineering
    • RAG architectures
    • AI orchestration / agent-based patterns
  • Experience integrating LLMs with enterprise systems and APIs

DevSecOps & Engineering
  • Experience with CI/CD, automation, and cloud operations
  • Familiarity with Kubernetes, APIs, and event-driven architectures
  • Understanding of observability and reliability for production systems

Good to Have
  • Experience with SAP AI Core / AI Launchpad / GenAI Hub
  • Exposure to frameworks like LangChain, LangGraph, CrewAI

Responsibilities
SAP BTP & Cloud
  • Design and own end-to-end SAP BTP architectures across:
    • Cloud Foundry and/or Kyma runtimes
    • SAP Integration Suite (CPI, API Management, Event Mesh)
    • SAP HANA Cloud, Datasphere
    • Identity & Access Management (IAS, XSUAA, IDP trust)
  • Define account, subaccount, runtime, and security models aligned with enterprise standards
  • Establish reference architectures, design patterns, and best practices for BTP implementations

GenAI & AI Architecture
  • Design and implement GenAI-enabled use cases on BTP, such as:
    • AI copilots for SAP users
    • Incident, alert, and change summarization
    • Automated root cause analysis and remediation recommendations
    • Knowledge bots for runbooks, KT documents, and SAP operations
  • Architect RAG (Retrieval-Augmented Generation) pipelines using:
    • SAP HANA Cloud / vector stores
    • Secure enterprise data sources
  • Integrate BTP with enterprise LLM platforms (Azure OpenAI, OpenAI, Gemini, etc.)
  • Evaluate and apply agentic AI patterns

DevSecOps & Engineering
  • Define CI/CD pipelines for BTP applications and AI workflows
  • Ensure production readiness of GenAI solution
  • Work closely with SRE / Ops teams to operationalize AI solutions at scale