AI Engineer / Applied AI Developer

Responsibilities

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
  
  

Requirements

• 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
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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