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Remote Python Jobs in Prosper, TX (NOW HIRING)

Build scalable AI services using Python , FastAPI/Flask, and cloud platforms (Azure/AWS/GCP). * Collaborate with crossfunctional teams to define use cases and convert them into productionready GenAI ...

SW Engineer (DevOps)

Prosper, TX · Remote

$48.25 - $66.25/hr

Blue Bell, PA 100% Remote *Healthcare experience is a must Youll work with the development team to ... Python, PySpark, Cloudera Hadoop. SKILLS & COMPETENCIES: Excellent verbal and written communication ...

Data Engineer (Databricks + Python + Azure)

Dallas, TX · Remote

$117.20K - $140.70K/yr

Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python . * Build and optimize ETL/ELT processes within Azure cloud environments . * Implement data models ...

... in Python or similar languages (preferred). Compliance, Governance & Quality - Ensure ontologies ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Data Engineer (Databricks + Python + Azure)

Dallas, TX · On-site +1

$113.30K - $136K/yr

Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python . * Build and optimize ETL/ELT processes within Azure cloud environments . * Implement data models ...

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Remote Python information

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$12

$53

$79

How much do remote python jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python 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 Are Remote Jobs That Use Python?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

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

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

How do Remote Python Developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.

What are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

What is the difference between Remote Python vs Remote Data Analyst?

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

What are the most commonly searched types of Python jobs in Prosper, TX? The most popular types of Python jobs in Prosper, TX are:
What are popular job titles related to Remote Python jobs in Prosper, TX? For Remote Python jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python jobs in Prosper, TX look for? The top searched job categories for Remote Python jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Remote Python jobs? Cities near Prosper, TX with the most Remote Python job openings:

GenAI & Agentic AI Engineer

Vytwo

Prosper, TX • On-site, Remote

Full-time

Posted 9 days ago


Job description

Role: GenAI & Agentic AI Engineer
Location: Whippany, NJ (Hybrid)
Hire Type: FTE
*Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.

About Position:
We are looking for a skilled GenAI & Agentic AI Engineer with strong experience in building endtoend AI/ML solutions, Generative AI applications, and agentbased automation workflows. The ideal candidate will have a solid background in machine learning along with handson expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
What You'll Do:
  • Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
  • Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
  • Design and implement RAG pipelines, vector search solutions, and embeddingbased retrieval systems.
  • Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
  • Collaborate with crossfunctional teams to define use cases and convert them into productionready GenAI solutions.
  • Implement hallucination reduction, promptengineering strategies, and model evaluation methods.
  • Integrate LLMs with enterprise applications, APIs, and automation workflows.
  • Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
  • Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.
Expertise You'll Bring:
  • 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
  • 2+ years of handson experience in Generative AI (LLMs, embeddings, RAG, LLMbased apps).
  • 6+ months of handson experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
  • Strong proficiency in Python and ML libraries (Scikitlearn, Pandas, NumPy).
  • Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
  • Familiarity with building scalable APIs using FastAPI, Flask, or Django.
  • Handson knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
  • Strong understanding of REST APIs, microservices, and integration patterns.
  • Experience with Git, CI/CD, Docker, and model deployment best practices.

Flexible work from home options available.