Python Developer
Full-stack Python developer building scalable enterprise applications: Python backends (FastAPI/Flask/Django), React/Angular frontends, REST APIs and microservices, with heavy GenAI work integrating LLMs (OpenAI, Gemini, Claude), RAG, vector search, and AI agents, deployed on AWS/Azure/GCP.
- Compensation
- Not disclosed
- Location
- Tampa, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Strong hands-on Python backend development experience
- Backend services, REST APIs, and microservices with FastAPI, Flask, or Django
- Frontend development with React.js or Angular, JavaScript, TypeScript, HTML, CSS
- Generative AI expertise and integrating LLMs (OpenAI GPT, Google Gemini, Anthropic Claude) into production applications
- RAG, embeddings, vector databases, and semantic search
- Prompt engineering, context management, and LLM output quality techniques
- Relational and NoSQL databases (PostgreSQL, Oracle, MongoDB, Redis)
- Authentication, authorization, data protection, and secure API integrations
- Automated unit tests, integration tests, and CI/CD pipelines
- Deploying and monitoring applications on AWS, Azure, or GCP
- Experience designing, developing, and deploying scalable enterprise applications
Nice to have
- AI agents and agentic workflows with LangChain, LangGraph, or Google ADK
Full 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 backend development, frontend technologies, REST APIs, microservices, and integrating Large Language Models (LLMs) into production applications.
Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below.
The candidate should be capable of developing end-to-end solutions, building AI-powered features, and implementing secure, scalable, and high-performance applications.
Key Responsibilities
- Design, develop, and maintain scalable full-stack applications using Python and modern frontend frameworks.
- Build backend 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. xhmxlyz
- Collaborate with product managers, architects, data scientists, and engineering teams to deliver production-ready solutions.