Stelvio Group
AI Application Engineer
Stelvio Group - Denver, Colorado, United States, 80285
Work at Stelvio Group
Overview
- View job
Overview
Direct message the job poster from Stelvio Group
Senior Recruitment Consultant at Stelvio Group | Connecting Top Talent with Companies in the US
Job Title: AI Application Engineer About Us: We're a dynamic company leading the charge in advanced AI technologies. Join us to work on groundbreaking solutions in AI, focusing on cutting-edge Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and large language models, including applications powered by technologies like ChatGPT. Position Overview: We are looking for an AI Application Engineer with 1-3 years of experience in RAG, NLP, and application development using large language models. In this role, you will design, develop, and optimize AI-powered systems. Your work will include creating interactive applications that leverage the ChatGPT API for user interaction, data retrieval, and processing. You'll play a vital role in integrating natural language understanding into real-world applications, enhancing user experiences with large language models. Key Responsibilities: Develop and optimize RAG workflows and NLP models. Build and maintain scalable vector database solutions for AI applications. Design and implement applications that integrate with large language models via APIs like ChatGPT, handling user input, query processing, and response generation. Collaborate with cross-functional teams to integrate AI capabilities into various systems. Conduct experiments and fine-tune models to improve performance. Keep up with the latest trends and best practices in AI technologies. Required Qualifications: Bachelors degree in Computer Science, AI, or a related field. 1-3 years of experience in RAG, NLP, and vector databases. Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, or Hugging Face. Ability to develop code that interacts with large language models. Experience with vector databases (e.g., Pinecone, Weaviate). Experience building and deploying applications that interact with large language models, especially leveraging APIs like ChatGPT for real-time data retrieval and processing. Strong understanding of natural language processing techniques and text embedding models. Desired Qualifications: Degree in a relevant field. Experience deploying AI models in production environments. Familiarity with LLM reinforcement learning and cloud platforms. Experience working with LLM frameworks like LangChain or Pydantic AI, or developing custom frameworks. Experience with RAG applications using locally hosted LLMs or public LLM API services. Experience with LLM tool calling in projects. Experience fine-tuning language models for tasks like text classification or sentiment analysis. Proficiency in language model prompt engineering. If youre excited about AI-driven applications and want to work with the latest in AI technologies, wed love to hear from you! Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Media and Computer and Network Security
#J-18808-Ljbffr
Job Title: AI Application Engineer About Us: We're a dynamic company leading the charge in advanced AI technologies. Join us to work on groundbreaking solutions in AI, focusing on cutting-edge Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and large language models, including applications powered by technologies like ChatGPT. Position Overview: We are looking for an AI Application Engineer with 1-3 years of experience in RAG, NLP, and application development using large language models. In this role, you will design, develop, and optimize AI-powered systems. Your work will include creating interactive applications that leverage the ChatGPT API for user interaction, data retrieval, and processing. You'll play a vital role in integrating natural language understanding into real-world applications, enhancing user experiences with large language models. Key Responsibilities: Develop and optimize RAG workflows and NLP models. Build and maintain scalable vector database solutions for AI applications. Design and implement applications that integrate with large language models via APIs like ChatGPT, handling user input, query processing, and response generation. Collaborate with cross-functional teams to integrate AI capabilities into various systems. Conduct experiments and fine-tune models to improve performance. Keep up with the latest trends and best practices in AI technologies. Required Qualifications: Bachelors degree in Computer Science, AI, or a related field. 1-3 years of experience in RAG, NLP, and vector databases. Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, or Hugging Face. Ability to develop code that interacts with large language models. Experience with vector databases (e.g., Pinecone, Weaviate). Experience building and deploying applications that interact with large language models, especially leveraging APIs like ChatGPT for real-time data retrieval and processing. Strong understanding of natural language processing techniques and text embedding models. Desired Qualifications: Degree in a relevant field. Experience deploying AI models in production environments. Familiarity with LLM reinforcement learning and cloud platforms. Experience working with LLM frameworks like LangChain or Pydantic AI, or developing custom frameworks. Experience with RAG applications using locally hosted LLMs or public LLM API services. Experience with LLM tool calling in projects. Experience fine-tuning language models for tasks like text classification or sentiment analysis. Proficiency in language model prompt engineering. If youre excited about AI-driven applications and want to work with the latest in AI technologies, wed love to hear from you! Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Media and Computer and Network Security
#J-18808-Ljbffr