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DD - AI Engineer

Job in Farmington Hills, Oakland County, Michigan, USA
Listing for: Goodfit
Full Time position
Listed on 2026-10-02
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

We are looking for a highly motivated AI Engineer with strong hands-on development skills and a passion for building AI-powered proof-of-concepts. The ideal candidate thrives in a fast-paced, research-driven environment and enjoys experimenting with cutting-edge AI and Large Language Model (LLM) technologies to solve real-world problems.

Key Responsibilities
  • Design, develop, and deliver AI-powered proof-of-concepts (POCs) and prototypes

  • Work hands-on with Large Language Models (LLMs) to build intelligent applications

  • Develop and optimize prompts, workflows, and function-calling logic for LLM-based systems

  • Integrate external and internal APIs, handling both structured and unstructured data

  • Collaborate with cross-functional teams using Git-based development workflows

  • Rapidly experiment, iterate, and validate AI solutions in a research-oriented environment

  • Translate complex problems into practical AI-driven solutions

Must-Have Technical Skills
  • Hands-on experience building working AI proof-of-concepts

  • Strong experience with Large Language Models (LLMs)

  • Prompt engineering and LLM function/tool calling

  • API integration and data handling (structured & unstructured)

  • Strong analytical and problem-solving skills

  • Familiarity with Git and collaborative development practices

  • Strong AI + Python with Lang Chain experience (would be plus), with limited Java experience would be fine.

Nice-to-Have Technical Skills
  • Experience building Agentic AI systems

  • Experience with Conversational AI, chatbots, or summarization tools

  • Hands-on experience with OpenAI or similar LLM platforms

  • Familiarity with Streamlit, FastAPI, or Flask for building demos or UI tools

  • Exposure to machine learning frameworks or AI cloud services

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