AI Engineer / Applied AI Developer

Farmington Hills, MI

Kforce has a client that is seeking an AI Engineer/Applied AI Developer in Farmington Hills, MI. Overview: A forward-looking technology team is seeking an Applied AI Engineer to support rapid prototyping and development of AI-powered solutions. The group operates in a fast-paced, research-driven environment focused on leveraging large language models and emerging AI capabilities to build proof-of-concept applications and intelligent systems. Key Responsibilities:

  • Design and develop AI-powered proof-of-concept applications and experimental solutions
  • Build and integrate LLM-based features using prompt engineering, function calling, and API orchestration
  • Develop scalable prototypes that demonstrate AI capabilities across structured and unstructured data use cases
  • Collaborate with technical stakeholders to translate ideas into working AI-driven applications
  • Work with APIs, data pipelines, and external services to support AI functionality and integration
  • Contribute to iterative experimentation, testing, and refinement of AI models and workflows
  • Participate in code reviews and maintain clean, reusable, and well-documented codebases
  • Strong hands-on development experience with advanced proficiency in Java
  • Intermediate to advanced proficiency in Python
  • Demonstrated ability to quickly build working proof-of-concept applications
  • Strong understanding of prompt engineering and function calling with large language models
  • Experience integrating APIs and working with both structured and unstructured data
  • Familiarity with Git and collaborative software development practices
  • Strong analytical thinking, problem-solving skills, and ability to work in fast-paced environments
  • Solid understanding of large language model concepts and practical application usage
Preferred/Nice-to-Have Skills:
  • Experience building agentic AI systems, conversational AI chatbots, or summarization tools
  • Exposure to OpenAI or similar LLM frameworks and ecosystems
  • Familiarity with AI application frameworks such as Streamlit, FastAPI, or Flask
  • Experience with machine learning frameworks or cloud-based AI services

Posted 2026-05-15

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