Ai Engineer
Oracle Solicitors
/job-details/13057
AI Engineer
We are looking for an experienced AI Engineer to work on real-world AI projects involving large language models, document intelligence, and private AI infrastructure.
Key Responsibilities
\* Deploy and optimize open-source Large Language Models (LLMs)
\* Design, implement, and maintain private (on-premise) AI systems
\* Develop Retrieval-Augmented Generation (RAG) architectures
\* Build AI-powered pipelines for processing PDFs and other document formats
\* Configure GPU-based inference environments and local AI infrastructure
\* Develop AI-driven document classification and information extraction solutions
\* Automate the analysis of legal and business documents using AI
\* Build AI systems capable of generating response letters based on historical data and similar cases
Required Qualifications
\* Hands-on experience with AI and Large Language Model (LLM) technologies
\* Strong proficiency in Python
\* Practical experience with RAG, embeddings, and vector databases
\* Experience in document classification and document understanding
\* Knowledge of OCR technologies and document processing pipelines
\* Strong prompt engineering skills and experience with AI agents
\* Experience deploying and managing on-premise AI environments
\* Experience with GPU inference, model deployment, and performance optimization
Preferred Qualifications
\* Experience with technologies such as vLLM, Ollama, Hugging Face Transformers, LangChain, LlamaIndex, or similar frameworks
\* Experience working with NVIDIA GPUs and the CUDA ecosystem
\* Experience in LegalTech or document automation projects
\* Familiarity with Docker, Linux, and Microsoft Azure environments
We are looking for an experienced AI Engineer to work on real-world AI projects involving large language models, document intelligence, and private AI infrastructure.
Key Responsibilities
\* Deploy and optimize open-source Large Language Models (LLMs)
\* Design, implement, and maintain private (on-premise) AI systems
\* Develop Retrieval-Augmented Generation (RAG) architectures
\* Build AI-powered pipelines for processing PDFs and other document formats
\* Configure GPU-based inference environments and local AI infrastructure
\* Develop AI-driven document classification and information extraction solutions
\* Automate the analysis of legal and business documents using AI
\* Build AI systems capable of generating response letters based on historical data and similar cases
Required Qualifications
\* Hands-on experience with AI and Large Language Model (LLM) technologies
\* Strong proficiency in Python
\* Practical experience with RAG, embeddings, and vector databases
\* Experience in document classification and document understanding
\* Knowledge of OCR technologies and document processing pipelines
\* Strong prompt engineering skills and experience with AI agents
\* Experience deploying and managing on-premise AI environments
\* Experience with GPU inference, model deployment, and performance optimization
Preferred Qualifications
\* Experience with technologies such as vLLM, Ollama, Hugging Face Transformers, LangChain, LlamaIndex, or similar frameworks
\* Experience working with NVIDIA GPUs and the CUDA ecosystem
\* Experience in LegalTech or document automation projects
\* Familiarity with Docker, Linux, and Microsoft Azure environments