AI Engineer / Applied AI Developer

Kforce Inc.
Farmington Hills, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Farmington Hills, United States of America

Tech stack

Java
API
Artificial Intelligence
Application Integration Architecture
Code Review
Collaborative Software
Python
TensorFlow
Unstructured Data
Chatbots
Flask
Large Language Models
Prompt Engineering
GIT
FastAPI
Virtual Agents
Streamlit Framework
GPT
Data Pipelines

Job description

  • 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

Benefits & conditions

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.

About the company

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