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GenAI Engineer

Alpharetta, GA, US • Posted 13 hours ago • Updated 13 hours ago

Contract W2

Contract Corp To Corp

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Gen AI
MLOps
SageMaker
AWS
Azure
NumPy
Lang Chain
Lang Graph
Hugging Face
Pandas

Summary

Title: GenAI Engineer Location: Alpharetta, GA (Onsite) Position: Contract

Note: A face-to-face interview is a must for the final round

Description:
We are seeking a Senior AI Gen AI Engineer with strong experience in machine learning, generative AI, and enterprise-scale AI platform development
The ideal candidate should have hands-on experience building production-grade AI systems, including Retrieval Augmented Generation RAG platforms, vector search pipelines, autonomous AI agents, and scalable
ML model deployment
The role requires expertise in Python-based ML development, LLM frameworks, vector databases, and AI orchestration frameworks such as Lang Chain, Lang Graph, and Hugging Face

Provide this skill matrix for all profile submissions Gen AI Engineer Skill Competency Hands-on experience in years Enter 0 if you have theoretical knowledge
Python
RAG Vector DB Chunking Embedding
Data Pre-processing
Prompt Engineering
Gen AI Models Familiarity
Framework Libraries Lang Chain Hugging Face Lang graph similar framework build autonomous loop
Azure Cloud Computing Open AI services
API Integration and Development
Gen AI solution built for enterprise solutions Not POC Educational Personal

Required Skills
Experience with enterprise level projects only No college Educational POC Projects
Programming
Strong Python development experience 7 years
Generative AI
Hands-on experience with RAG Vector DB Embedding and document chunking Semantic search pipelines
AI Frameworks
Experience with Lang Chain, Lang Graph, and Hugging Face
Data Processing
Experience with Pandas, NumPy, and data pre-processing pipelines
Integration
Experience deploying ML models as REST APIs and integrating AI with enterprise systems

Preferred Skills
Experience with Natural Language Processing NLP and Deep Learning
Familiarity with Transformers and Large Language Models LLMs
Experience with Cloud ML platforms such as Azure AI, AWS SageMaker, etc

Nice to Have
Experience building AI agents or autonomous systems
Knowledge of vector databases Pinecone Weaviate Milvus FAISS
Experience with MLOps practices, Docker, and Kubernetes
Exposure to multimodal AI systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10119106
Position Id: 8934846
Posted 13 hours ago

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