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Python S Jobs in Florida (NOW HIRING)

Purple Drive Technologies

Sr Python Developer

Tampa, FL · On-site

$114K - $154K/yr

We are seeking a highly skilled Senior Python Developer with proven expertise in Generative AI frameworks to design, develop, and deploy advanced AI-driven solutions. The ideal candidate will have ...

Arkhya Tech

Python Full Stack Developer

Miami, FL

Full Stack Developer (Python + React + Azure) Location: Miami, FL (Onsite) Experience 10+ Years Role Overview We are seeking a highly skilled Full Stack Engineer with strong experience in Python ...

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Python S information

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to Python's widespread use in data science, web development, automation, and machine learning. Skills in frameworks like Django or Flask and familiarity with libraries such as Pandas or TensorFlow enhance job prospects for Python programmers.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding requires creativity, problem-solving, and understanding of complex systems that AI currently cannot fully replicate. AI tools can assist programmers by automating repetitive tasks and improving efficiency, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new technologies and enhancing skills in areas like machine learning and automation can help Python coders remain valuable in the evolving tech landscape.

Is Python a high paying job?

Python developers often earn competitive salaries due to the high demand for programming skills in data science, web development, and automation. Salaries vary based on experience, location, and industry, but Python roles generally offer above-average compensation compared to many other programming languages.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What are popular job titles related to Python S jobs in Florida? For Python S jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python S jobs in Florida look for? The top searched job categories for Python S jobs in Florida are:
What cities in Florida are hiring for Python S jobs? Cities in Florida with the most Python S job openings:
Python S jobs near you

Sr Python Developer

Purple Drive Technologies

Tampa, FL • On-site

$114K - $154K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview:
Job Description:
We are seeking a highly skilled Senior Python Developer with proven expertise in Generative AI frameworks to design, develop, and deploy advanced AI-driven solutions. The ideal candidate will have deep experience in Python, hands-on expertise with LangChain, Langraph, and OpenAI, and a strong understanding of large language model (LLM) integration. This role requires working closely with cross-functional teams to build scalable, production-grade applications leveraging the latest AI technologies.
Key Responsibilities:
  • Design and implement AI-driven applications using Python, LangChain, Langraph, and OpenAI APIs.
  • Develop scalable architectures for LLM-powered applications such as chatbots, retrieval-augmented generation (RAG) pipelines, and workflow automation tools.
  • Build, test, and optimize prompt engineering strategies for LLM use cases.
  • Integrate with external data sources (databases, APIs, vector databases like Pinecone, Weaviate, or FAISS) for context-rich AI solutions.
  • Collaborate with data scientists, ML engineers, and product teams to understand business requirements and deliver AI solutions.
  • Develop end-to-end pipelines for training, fine-tuning, deployment, and monitoring of LLM-based applications.
  • Implement best practices for security, scalability, and performance optimization in AI systems.
  • Create documentation, technical guides, and reusable components for internal teams.
  • Stay updated with the latest advancements in Generative AI, LLMOps, and orchestration frameworks to continuously improve solution capabilities.

Required Skills & Experience:
  • Strong hands-on development experience in Python (5+ years).
  • Proven expertise with LangChain and Langraph for building AI applications.
  • Solid understanding of OpenAI APIs (ChatGPT, GPT-4, embeddings, fine-tuning, etc.).
  • Experience with vector databases (Pinecone, FAISS, Weaviate, ChromaDB).
  • Familiarity with RAG pipelines, conversational AI, and workflow orchestration.
  • Strong understanding of software engineering best practices (OOP, design patterns, CI/CD).
  • Experience with cloud platforms (AWS, Azure, or GCP) for deploying AI applications.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Excellent problem-solving, analytical, and communication skills.

Nice-to-Have Skills:
  • Experience with other LLM frameworks (e.g., LlamaIndex, Hugging Face Transformers).
  • Exposure to MLOps/LLMOps practices for model deployment and monitoring.
  • Familiarity with front-end integration for AI applications (React, Streamlit, or Flask).
  • Experience in data pipelines, ETL, or big data frameworks.

Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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