What are the responsibilities and job description for the AI Application Engineer position at Stelvio Group?
Job Title: AI Application Engineer
Location: Denver, CO
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:
- Bachelor’s 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 you’re excited about AI-driven applications and want to work with the latest in AI technologies, we’d love to hear from you!
