Gen AI Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Developer in Atlanta, offering a competitive hourly W2 rate on a contract basis. Requires 7–8 years in Machine Learning/NLP, proficiency in Python and PyTorch, and experience with LLMs and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Airflow #Langchain #NLP (Natural Language Processing) #AWS (Amazon Web Services) #Python #Model Deployment #"ETL (Extract #Transform #Load)" #SageMaker #Cloud #Azure #MLflow #ML (Machine Learning) #Docker #PyTorch #GIT #GCP (Google Cloud Platform) #Generative Models #Transformers #AI (Artificial Intelligence) #Scala #Deployment
Role description
About the Company We are hiring a Generative AI Developer to join our AI engineering team in Atlanta. This is a hands-on contract role focused on building and deploying intelligent systems powered by large language models (LLMs), autonomous agents, and generative workflows. You’ll work closely with product and engineering teams to deliver scalable, secure, and innovative AI solutions. About the Role We are hiring a Generative AI Developer to join our AI engineering team in Atlanta. This is a hands-on contract role focused on building and deploying intelligent systems powered by large language models (LLMs), autonomous agents, and generative workflows. You’ll work closely with product and engineering teams to deliver scalable, secure, and innovative AI solutions. Responsibilities • Design and implement LLM-powered applications for summarization, Q&A, content generation, and conversational AI. • Build and orchestrate LangChain / LangGraph pipelines for Retrieval-Augmented Generation (RAG) and agent-based systems. • Integrate generative models with AWS Bedrock, SageMaker, or other cloud-native ML platforms. • Develop and manage vector database solutions (e.g., FAISS, Pinecone, Weaviate) for semantic search and memory. • Optimize model performance, reduce latency, and address bias/hallucination issues. • Collaborate with cross-functional teams to translate business needs into AI-first solutions. • Contribute to MLOps workflows including CI/CD, model versioning, and governance. Qualifications • 7–8 years in Machine Learning / NLP / Generative AI Required Skills • Strong proficiency in Python, PyTorch, and HuggingFace Transformers • Hands-on experience with: • • LLMs (GPT, Claude, Gemini, LLaMA) • LangChain, LangGraph, Vector DBs • Prompt engineering and fine-tuning • Cloud platforms (AWS, GCP, Azure) • • Familiarity with MLOps tools like MLflow, Airflow, Docker, and Git Preferred Skills • Experience building generative tools for chatbots, code assistants, or digital content creation • Knowledge of diffusion models, GANs, or VAEs • Understanding of ethical AI principles and responsible model deployment • Contributions to open-source AI projects or published research Pay range and compensation package Competitive hourly W2 rate based on experience This is a Contract W2 position. No C2C or third-party submissions will be accepted. Candidates must be available for in-person interviews in Atlanta, GA.