> Markdown version of [/jobs/ext/3754594-python-ai-developer](https://www.wearedevelopers.com/jobs/ext/3754594-python-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python AI Developer - **Company:** Apptad Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Python (Programming Language), Machine Learning, OpenAI, Tensorflow, Microsoft Copilot, Systems Integration, Pinecone, Enterprise Software Applications, Chatbots, Pytorch, LangChain, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Llamaindex, Generative AI, Agentic-AI, Fastapi, Scikit Learn, Kubernetes, Machine Learning Operations, FAISS, Restful APIs, Docker, ChromaDB, Microservices - **Published:** October 15, 2026 - **Apply:** https://www.careerjet.com/jobad/usec3c409fe1cf2cde2599596f51e1e684 ## About the Role We are looking for a Python AI Developer with experience in building AI-powered applications using Python, Machine Learning, and Generative AI technologies. The ideal candidate should have hands-on expertise in developing scalable AI solutions and integrating LLMs into enterprise applications., * Strong Python development experience * Generative AI, LLMs, and Prompt Engineering * LangChain, LangGraph, LlamaIndex * RAG (Retrieval-Augmented Generation) * OpenAI / Azure OpenAI * Machine Learning (Scikit-learn, PyTorch, TensorFlow) * FastAPI or Flask * Vector Databases (Pinecone, ChromaDB, FAISS) * REST APIs and Microservices * Azure/AWS Cloud experience Responsibilities * Develop and deploy AI/ML and Generative AI solutions. * Build AI chatbots, copilots, and intelligent automation tools. * Design and implement RAG-based applications. * Integrate LLMs with enterprise systems and APIs. * Collaborate with business and technical stakeholders to deliver AI-driven solutions. Preferred * Experience with AI Agents and Agentic AI frameworks. * Knowledge of MLOps, Docker, and Kubernetes.