

Apton, Inc.
Python AI Agent Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python AI Agent Developer, a 6+ month contract in Bay Area, CA (onsite 3 days/week), offering a competitive pay rate. Key skills include Python, Generative AI, OpenAI APIs, and experience with LLM frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#REST (Representational State Transfer) #REST API #GIT #AI (Artificial Intelligence) #Deployment #Databases #FastAPI #Flask #GCP (Google Cloud Platform) #Programming #Azure #Model Deployment #Docker #Data Engineering #Python #Scala #Cloud #AWS (Amazon Web Services) #Langchain
Role description
Job Title: Python AI Agent Developer
Location: Bay Area, CA (Onsite – 3 Days/Week)
Duration: 6+ Months Contract
Rate: Market Best Rate
Role Overview
We are seeking a highly motivated Python AI Agent Developer with hands-on experience in Artificial Intelligence, Generative AI, and AI Agent development. The ideal candidate should have strong Python programming skills and experience building AI-powered applications using modern LLM frameworks and cloud-based AI development environments.
This role involves developing intelligent AI agents capable of executing tasks autonomously, integrating with enterprise systems, and leveraging cloud-based coding environments such as OpenAI Codex Cloud or similar AI-assisted development platforms. The candidate will collaborate with cross-functional teams to design, develop, and deploy scalable AI solutions.
Key Responsibilities
• Design, develop, and maintain AI-powered applications using Python.
• Build autonomous AI agents capable of executing workflows and background tasks.
• Work with OpenAI Codex Cloud or similar cloud-based AI coding environments for automated development and task execution.
• Develop solutions using Large Language Models (LLMs) such as GPT, Claude, or Gemini.
• Implement Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.
• Integrate AI solutions with REST APIs, databases, and third-party enterprise applications.
• Optimize AI models for performance, scalability, and reliability.
• Collaborate with product managers, data engineers, and software developers to deliver AI-driven solutions.
• Troubleshoot and resolve issues related to AI applications and Python services.
• Stay current with advancements in AI, Generative AI, and agentic frameworks.
Required Skills
• Strong proficiency in Python.
• Experience with Generative AI and AI Agent development.
• Hands-on experience with OpenAI APIs, Codex Cloud, or similar AI-assisted coding platforms.
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar agent frameworks.
• Knowledge of prompt engineering, function calling, and AI orchestration.
• Experience building REST APIs using FastAPI or Flask.
• Familiarity with vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
• Experience with Git, Docker, and cloud platforms such as AWS, Azure, or GCP.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience building multi-agent AI systems.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with CI/CD pipelines and containerized deployments.
• Familiarity with MLOps concepts and AI model deployment.
• Excellent communication and collaboration skills.
Work Environment
• Location: Bay Area, CA
• Work Model: Onsite (3 Days per Week)
• Duration: 6+ Months Contract
Compensation
• Rate: Market Best Rate (Based on Experience)
Job Title: Python AI Agent Developer
Location: Bay Area, CA (Onsite – 3 Days/Week)
Duration: 6+ Months Contract
Rate: Market Best Rate
Role Overview
We are seeking a highly motivated Python AI Agent Developer with hands-on experience in Artificial Intelligence, Generative AI, and AI Agent development. The ideal candidate should have strong Python programming skills and experience building AI-powered applications using modern LLM frameworks and cloud-based AI development environments.
This role involves developing intelligent AI agents capable of executing tasks autonomously, integrating with enterprise systems, and leveraging cloud-based coding environments such as OpenAI Codex Cloud or similar AI-assisted development platforms. The candidate will collaborate with cross-functional teams to design, develop, and deploy scalable AI solutions.
Key Responsibilities
• Design, develop, and maintain AI-powered applications using Python.
• Build autonomous AI agents capable of executing workflows and background tasks.
• Work with OpenAI Codex Cloud or similar cloud-based AI coding environments for automated development and task execution.
• Develop solutions using Large Language Models (LLMs) such as GPT, Claude, or Gemini.
• Implement Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.
• Integrate AI solutions with REST APIs, databases, and third-party enterprise applications.
• Optimize AI models for performance, scalability, and reliability.
• Collaborate with product managers, data engineers, and software developers to deliver AI-driven solutions.
• Troubleshoot and resolve issues related to AI applications and Python services.
• Stay current with advancements in AI, Generative AI, and agentic frameworks.
Required Skills
• Strong proficiency in Python.
• Experience with Generative AI and AI Agent development.
• Hands-on experience with OpenAI APIs, Codex Cloud, or similar AI-assisted coding platforms.
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar agent frameworks.
• Knowledge of prompt engineering, function calling, and AI orchestration.
• Experience building REST APIs using FastAPI or Flask.
• Familiarity with vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate.
• Experience with Git, Docker, and cloud platforms such as AWS, Azure, or GCP.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience building multi-agent AI systems.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with CI/CD pipelines and containerized deployments.
• Familiarity with MLOps concepts and AI model deployment.
• Excellent communication and collaboration skills.
Work Environment
• Location: Bay Area, CA
• Work Model: Onsite (3 Days per Week)
• Duration: 6+ Months Contract
Compensation
• Rate: Market Best Rate (Based on Experience)






