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Senior Python Developer Jobs in Tampa Palms, FL (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 ...

Sysmind LLC

Python Developer at Tampa, FL

Tampa, FL · On-site

$47.50 - $65.50/hr

We are looking for Sr Python Developer * LangChain * Langraph * OpenAI SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment ...

Seven Seven Software

Senior Python Developer

Tampa, FL · On-site

$114K - $154K/yr

* Confident to raise concerns with senior team and support resolution. * Effective change management skills. Ability to support & adapt within a changing environment. Utilization of test automation ...

Futran Tech Solutions Pvt. Ltd.

Al/ML Lead

Tampa, FL

... Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python ...

Accenture

Senior Advanced AI Research Engineer

Tampa, FL · On-site

$98K - $135K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

Wipro Limited

DEVELOPER L4

Tampa, FL · On-site

$60K - $135K/yr

... Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python ...

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Senior Python Developer information

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$177.2K

How much do senior python developer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior python developer in Tampa Palms, FL is $129,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $148,600.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

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

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.
What cities near Tampa Palms, FL are hiring for Senior Python Developer jobs? Cities near Tampa Palms, FL with the most Senior Python Developer job openings:
Senior Python Developer 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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