Python Developer

TSR, Inc
Tampa, FL, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

LangGraph Framework HTML JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Unit Testing Microsoft Azure Cascading Style Sheets (CSS) Databases Continuous Delivery
+32 more
Continuous Integration Django Web Framework Python (Programming Language) PostgreSQL Machine Learning MongoDB NoSQL Oracle (Applications) Redis OpenAI Search Technologies Systems Integration TypeScript Web Application Frameworks Google Cloud Enterprise Software Applications ReactJS Flask (Web Framework) Large Language Models Prompt Engineering Generative AI Backend Agentic-AI Fastapi AngularJS Integration Tests Front End Software Development Claude Google Gemini Restful APIs GPT Microservices

Job description

We are seeking an experienced Python Full Stack Developer with Generative AI (GenAI) expertise to design, develop, and deploy scalable enterprise applications powered by modern AI technologies. The ideal candidate will have strong hands-on experience in Python Back End development, Front End technologies, REST APIs, microservices, and integrating Large Language Models (LLMs) into production applications., * Design, develop, and maintain scalable full-stack applications using Python and modern Front End frameworks.

  • Build Back End services, REST APIs, and microservices using Python frameworks such as FastAPI, Flask, or Django.
  • Develop interactive user interfaces using React.js, Angular, JavaScript, TypeScript, HTML, and CSS.
  • Integrate Generative AI capabilities using LLMs such as OpenAI GPT, Google Gemini, Anthropic Claude, or other enterprise AI models.
  • Develop AI-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.
  • Build AI agents and agentic workflows using frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK), where applicable.
  • Integrate AI models with enterprise systems, databases, APIs, and external tools.
  • Implement prompt engineering, context management, response validation, and techniques to improve LLM output quality.
  • Work with relational and NoSQL databases such as PostgreSQL, Oracle, MongoDB, or Redis.
  • Implement authentication, authorization, data protection, and secure API integrations.
  • Develop automated unit tests, integration tests, and continuous integration/continuous deployment (CI/CD) pipelines.
  • Deploy and monitor applications on cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Collaborate with product managers, architects, data scientists, and engineering teams to deliver production-ready solutions.

Requirements

The candidate should be capable of developing end-to-end solutions, building AI-powered features, and implementing secure, scalable, and high-performance applications.

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