AI Application Engineer

Stelvio Group

Denver (CO)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

Join a dynamic company at the forefront of AI technology, where you'll work as an AI Application Engineer. This role focuses on designing and optimizing AI systems, particularly in Natural Language Processing and Retrieval-Augmented Generation. You'll create interactive applications that utilize cutting-edge technologies, including large language models and APIs like ChatGPT. Collaborate with cross-functional teams to enhance user experiences and drive innovation in AI applications. If you're passionate about AI and eager to make a significant impact, this is the perfect opportunity for you!

Qualifications

  • 1-3 years of experience in RAG and NLP application development.
  • Proficiency in Python with experience in AI frameworks.

Responsibilities

  • Develop and optimize RAG workflows and NLP models.
  • Integrate AI capabilities into various systems and applications.

Skills

Python
Natural Language Processing (NLP)
Retrieval-Augmented Generation (RAG)
Application Development
Model Fine-Tuning
Prompt Engineering

Education

Bachelor’s degree in Computer Science
Degree in a relevant field

Tools

PyTorch
TensorFlow
Hugging Face
Pinecone
Weaviate

Job description

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:

  • 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!

Seniority level
  • Associate
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Technology, Information and Media and Computer and Network Security
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