Role :Gen AI Engineer
Location :Atlanta GA
Long term Contract
Looking for W2 Candidates. No C2C
Responsibilities :
Design develop and optimize prompt engineering strategies for Large Language Models (LLMs) such as GPT Claude or similar models.
Build and deploy Generative AI applications including chatbots content generation tools and AI-powered assistants.
Develop and maintain AI pipelines using frameworks like LangChain LlamaIndex or similar.
Fine-tune and evaluate LLM models to improve performance accuracy and response quality.
Collaborate with data scientists product managers and engineering teams to deliver AI-powered solutions.
Implement retrieval-augmented generation (RAG) architectures to improve AI outputs using enterprise data.
Work on model evaluation testing and prompt optimization for scalability and reliability.
Integrate AI models with applications using APIs and cloud platforms.
Required Skills:
Strong experience with Generative AI and Prompt Engineering
Hands-on experience with LLMs (OpenAI GPT Anthropic Claude Llama etc.).
Experience with frameworks such as LangChain LlamaIndex or Semantic Kernel.
Understanding of Natural Language Processing (NLP) concepts. Proficiency in Python and AI/ML libraries.
Experience with RAG vector databases and embeddings (e.g. Pinecone FAISS Weaviate).
Experience integrating AI solutions using REST APIs and microservices architecture.
Best Regards:
Tina
Phone: 1-
Email:
Role :Gen AI Engineer Location :Atlanta GA Long term Contract Looking for W2 Candidates. No C2C Responsibilities : Design develop and optimize prompt engineering strategies for Large Language Models (LLMs) such as GPT Claude or similar models. Build and deploy Generative AI applications in...
Role :Gen AI Engineer
Location :Atlanta GA
Long term Contract
Looking for W2 Candidates. No C2C
Responsibilities :
Design develop and optimize prompt engineering strategies for Large Language Models (LLMs) such as GPT Claude or similar models.
Build and deploy Generative AI applications including chatbots content generation tools and AI-powered assistants.
Develop and maintain AI pipelines using frameworks like LangChain LlamaIndex or similar.
Fine-tune and evaluate LLM models to improve performance accuracy and response quality.
Collaborate with data scientists product managers and engineering teams to deliver AI-powered solutions.
Implement retrieval-augmented generation (RAG) architectures to improve AI outputs using enterprise data.
Work on model evaluation testing and prompt optimization for scalability and reliability.
Integrate AI models with applications using APIs and cloud platforms.
Required Skills:
Strong experience with Generative AI and Prompt Engineering
Hands-on experience with LLMs (OpenAI GPT Anthropic Claude Llama etc.).
Experience with frameworks such as LangChain LlamaIndex or Semantic Kernel.
Understanding of Natural Language Processing (NLP) concepts. Proficiency in Python and AI/ML libraries.
Experience with RAG vector databases and embeddings (e.g. Pinecone FAISS Weaviate).
Experience integrating AI solutions using REST APIs and microservices architecture.
Best Regards:
Tina
Phone: 1-
Email:
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