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Senior AI / GenAI Engineeri in GA/ NY (Hybrid 3 days)

Georgia IT Incvia Lensa
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Salário Estimado

R$ 16.445,00 - R$ 24.668,00

0de 100

Excelente

Score da Vaga

Descrição da Vaga

Senior AI / GenAI Engineer ( F2F interview is required) ( Banking/Finance domain) Type: Contract Location: GA/ NY ( Hybrid 3 days) Rate: DOE Job Summary: Candidates must have experience delivering enterprise AI solutions in production environments, NOT only POC or personal projects/Educational Projects .


We are seeking a Senior AI / GenAI 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 LangChain, LangGraph, and Hugging Face.


Skill Matrix (Provide this for all profile submissions): GenAI Engineer- Skill/Competency | Hands-on experience in years.


Enter 0 if you have theoretical knowledge | Rating (1-10) 10 Highest Python RAG, Vector DB, Chunking, Embedding Data Pre-Processing Prompt Engineering GenAI Models Familiarity Framework & Libraries - LangChain, Hugging Face, Langgraph similar framework build autonomous loop Azure Cloud Computing/OpenAI services API Integration and Development Gen AI solution built for enterprise solutions (Not POC, Educational, Personal) Mandatory In-person interview in GA or NY - Enter Yes to confirm.


Key Responsibilities:

Strong Python development experience (7+ years).
Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines • Experience with LangChain, LangGraph, and Hugging Face.
Experience with Pandas, NumPy, and data preprocessing pipelines. • Experience deploying ML models as REST APIs and integrating AI with enterprise systems.

Required Skills & Qualifications:

** Mandatory In-person interview in GA or NY
** Experience with enterprise level projects only - No college, Educational, POC Projects • Strong Python development experience (7+ years).
Hands-on experience with RAG, Vector DB, Embeddings and document chunking, Semantic search pipelines • Experience with LangChain, LangGraph, and Hugging Face.
Experience with Pandas, NumPy, and data preprocessing pipelines. • Experience deploying ML models as REST APIs and integrating AI with enterprise systems.

Preferred Qualifications:

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.

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