Job Summary: We are seeking an experienced AI Engineer with deep expertise in fine-tuning and optimizing Large Language Models (LLMs) such as GPT DeepSeek LLAMA BERT MistralAI and Hugging Face models. The ideal candidate will have a strong background in Retrieval-Augmented Generation (RAG) agentive AI frameworks (e.g. LangGraph) and building scalable secure AI solutions tailored for autonomous agents and enterprise applications. Key Responsibilities: - Fine-tune and optimize LLMs (e.g. GPT LLAMA MistralAI BERT) for specific use cases and enterprise deployment.
- Design and implement advanced RAG pipelines for knowledge-intensive tasks.
- Build and deploy autonomous AI agents using agentive frameworks like LangGraph.
- Develop and integrate RESTful APIs for scalable AI services.
- Collaborate with cross-functional teams to deliver high-performance secure AI applications.
- Continuously evaluate and implement cutting-edge AI technologies and best practices.
- Ensure model efficiency scalability and compliance with security standards.
Required Skills: - Proven experience with LLMs (GPT BERT LLAMA etc.) and model fine-tuning.
- Hands-on expertise in RAG techniques and LangGraph or similar agentive AI tools.
- Proficiency in Python deep learning frameworks (e.g. PyTorch TensorFlow) and Hugging Face ecosystem.
- Experience with AI model deployment inference optimization and API development.
- Strong understanding of data handling prompt engineering and performance tuning.
- Excellent communication and collaboration skills.
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Job Summary:We are seeking an experienced AI Engineer with deep expertise in fine-tuning and optimizing Large Language Models (LLMs) such as GPT DeepSeek LLAMA BERT MistralAI and Hugging Face models. The ideal candidate will have a strong background in Retrieval-Augmented Generation (RAG) agentive A...
Job Summary: We are seeking an experienced AI Engineer with deep expertise in fine-tuning and optimizing Large Language Models (LLMs) such as GPT DeepSeek LLAMA BERT MistralAI and Hugging Face models. The ideal candidate will have a strong background in Retrieval-Augmented Generation (RAG) agentive AI frameworks (e.g. LangGraph) and building scalable secure AI solutions tailored for autonomous agents and enterprise applications. Key Responsibilities: - Fine-tune and optimize LLMs (e.g. GPT LLAMA MistralAI BERT) for specific use cases and enterprise deployment.
- Design and implement advanced RAG pipelines for knowledge-intensive tasks.
- Build and deploy autonomous AI agents using agentive frameworks like LangGraph.
- Develop and integrate RESTful APIs for scalable AI services.
- Collaborate with cross-functional teams to deliver high-performance secure AI applications.
- Continuously evaluate and implement cutting-edge AI technologies and best practices.
- Ensure model efficiency scalability and compliance with security standards.
Required Skills: - Proven experience with LLMs (GPT BERT LLAMA etc.) and model fine-tuning.
- Hands-on expertise in RAG techniques and LangGraph or similar agentive AI tools.
- Proficiency in Python deep learning frameworks (e.g. PyTorch TensorFlow) and Hugging Face ecosystem.
- Experience with AI model deployment inference optimization and API development.
- Strong understanding of data handling prompt engineering and performance tuning.
- Excellent communication and collaboration skills.
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