Senior AI Engineer

1 month ago


Greensboro, North Carolina, United States Syntricate Technologies Full time
Job Title:
Senior AI Engineer

Location:
Greensboro, NC

Duration:
Contract

Job Description:
Role Description:10+ years Proficiency in Python and experience with Langchain, pyspark, PyTorch, Tensorflow, Streamlit and other relevant tools

  • Prompt Engineering and AI

Chatbot Acumen:
Developing sophisticated AI chatbot solutions, including QA/chatbots, translation, and search/summarization functionalities.

  • 5+ years of experience in GenAI Foundation Models and Vector DB:Leveraging foundational AI models and vector database technologies (multi vector) for advanced AI capabilities.
  • 5+ years of experience in RAG (Retrieval-Augmented Generation)

Model Fine Tuning:
Employing RAG techniques for enhanced AI responses and fine-tuning AI models for optimal performance.

Use of Orchestration Tools:
Utilizing advanced tools like Semantic Kerner, Langchain, and others for efficient AI model management.

  • Expertise in either OpenAI or Google Vertex and/or other models from Hugging face for implementing advanced language models.
  • Managing high availability and efficient deployment of cloud-native applications
  • Experience with hosting LLMs on-premises.
  • Experience with GitOps principles and tools, such as Git, Tekton, Flux, or ArgoCD, for managing infrastructure and application deployments.
  • Strong problem-solving skills and the ability to work in a collaborative and fast-paced environment.
  • 5+ years of experience in Automated Artificial Intelligence Tools
  • 5+ years of experience in Machine Learning / AI
  • 5+ years of experience in AWS, Azure, and other Cloud Platforms.
  • 5+ years of experience in Docker and Kubernetes
  • Bachelor's or master's degree in computer science, AI, or a related field
  • This role is crucial in achieving the best RAG results on client data and contributing to the broader AI and machine learning community.
  • Collaborate with cross-functional teams to understand business requirements and design AI solutions based on language models.
  • Develop, train, and optimize language models using PyTorch, Tensorflow, and other relevant frameworks.
  • Utilize expertise in either OpenAI or Google Vertex to implement state-of-the-art language models.
  • Responsible for End-to-End RAG Solution Design and Development
  • Lead the experimentation of different chunking and retrieval methods to enhance the efficiency and effectiveness of RAG systems.
  • Developing, training, fine-tuning LLMs for RAG
  • Conduct thorough evaluations of model and application performance.
  • This entails a deep dive into model accuracy, bias identification, and the formulation of strategies for ongoing enhancement.
  • Analytical skills that drive continuous improvements and set new benchmarks for excellence.
  • Engage with customers from various sectors to facilitate the successful adoption of Unstructured APIs


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