Phthon AI Developer

Quantum Technologies. LLC; Atlanta (GA); On-site; USD 93,000 - 133,000; Full time

Job summary

Quantum Technologies LLC is seeking an experienced Python AI Developer to design, build, and deploy AI-powered applications in Atlanta. The role emphasizes building REST APIs, RAG pipelines, LLM integrations, and scalable cloud deployments using Docker and Kubernetes.

The ideal candidate will have 5+ years of Python experience, hands-on Generative AI work, and proficiency with LangChain, LangGraph, and embedding models. Excellent problem solving and English communication are essential.

Qualifications

• 5+ years of hands-on Python development.
• Strong experience in Generative AI and LLM application development.
• Hands-on experience with LangChain or LangGraph.
• Experience designing and implementing RAG solutions.
• Strong knowledge of REST APIs and microservices.
• Experience with vector databases and embedding models.
• Understanding of prompt engineering and LLM evaluation.
• Experience deploying applications in AWS, Azure, or GCP.
• Good knowledge of English.

Responsibilities

• Design, develop, and maintain AI/ML applications using Python.
• Develop Generative AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, and Hugging Face models.
• Build LLM-powered applications using LangChain, LangGraph, and LlamaIndex.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop autonomous AI agents and multi-agent workflows.
• Build and integrate RESTful APIs using FastAPI, Flask, or Django.
• Implement prompt engineering, embeddings, semantic search, and vector databases.
• Develop machine learning models using Scikit-learn, TensorFlow, and PyTorch.
• Integrate AI applications with enterprise systems and databases.
• Deploy AI solutions using Docker, Kubernetes, and cloud services.
• Optimize AI model performance, latency, scalability, and cost.
• Collaborate with data engineers, architects, and DevOps teams.

Skills

Python

Generative AI

LLMs

LangChain

RAG

REST APIs

Microservices

Cloud deployment

Performance optimization

English proficiency

Tools

Docker

Kubernetes

FastAPI

Flask

Django

PyTorch

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Python AI Developer
Location: Atlanta, GA
Duration: 12 Months + Extension
Bill Rate: $82/hr C2C
Job Type: W-2, 1099, C2C
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

We are looking for an experienced Python AI Developer with strong expertise in Python programming, Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), and Agentic AI.

The ideal candidate should have hands-on experience developing AI-powered applications, building REST APIs, implementing RAG pipelines, integrating LLMs, and deploying scalable AI solutions in cloud environments.

Key Responsibilities

• Design, develop, and maintain AI/ML applications using Python.
• Develop Generative AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, and Hugging Face models.
• Build LLM-powered applications using LangChain, LangGraph, and LlamaIndex.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop autonomous AI agents and multi-agent workflows.
• Build and integrate RESTful APIs using FastAPI, Flask, or Django.
• Implement prompt engineering, embeddings, semantic search, and vector databases.
• Develop machine learning models using Scikit-learn, TensorFlow, and PyTorch.
• Integrate AI applications with enterprise systems and databases.
• Deploy AI solutions using Docker, Kubernetes, and cloud services.
• Optimize AI model performance, latency, scalability, and cost.
• Collaborate with data engineers, architects, and DevOps teams.

Mandatory Skills

• 5+ years of hands-on Python development experience.
• Strong experience in Generative AI and LLM application development.
• Hands-on experience with LangChain or LangGraph.
• Experience designing and implementing RAG solutions.
• Strong knowledge of REST APIs and microservices.
• Experience with vector databases and embedding models.
• Understanding of prompt engineering and LLM evaluation.
• Experience deploying applications in AWS, Azure, or GCP.
• Strong debugging, performance optimization, and problem-solving skills.
• good knowlege of english mysqli-DB

Preferred Skills

• Experience with Agentic AI and Model Context Protocol (MCP).
• Knowledge of AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Experience with AI workflow orchestration and multi-agent architecture.
• Familiarity with LLMOps, model monitoring, and evaluation frameworks.
• Experience with enterprise AI security and responsible AI practices.

Sample Project Experience

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.