AI Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

AI Engineer
Applied AI Developer
Machine Learning Engineer
LLM
Large Language Models
Generative AI
Python
Prompt Engineering
Function Calling
API Integration
Streamlit
FastAPI
Flask
OpenAI
Chatbot
Agentic AI
Summarization
Proof of Concept
Okemos MI
Hybrid

Job Details

Role: AI Engineer / Applied AI Developer
Location: Okemos, MI (Hybrid)
Duration: 12+ Month Contract
W2 Role
Interview Process: Phone + Webcam

Overview:

We are seeking a highly motivated AI Engineer / Applied AI Developer to join our innovation team.
The ideal candidate is a hands-on Python developer who loves exploring cutting-edge AI technologies and building rapid proof-of-concept (POC) applications.

You will work in a fast-paced, research-driven environment, developing intelligent solutions and prototypes leveraging Large Language Models (LLMs), prompt engineering, and AI-powered automation.

Key Responsibilities

  • Design, develop, and deploy AI-powered prototypes and proof-of-concept applications.
  • Work with LLMs and AI APIs to explore advanced capabilities like summarization, conversation, and reasoning.
  • Build and integrate APIs to handle both structured and unstructured data.
  • Collaborate with cross-functional teams to deliver applied AI solutions.
  • Experiment with prompt optimization, function calling, and fine-tuning LLM interactions.
  • Document workflows, best practices, and prototype architectures for future scaling.

Must Have Technical Skills

  • Python (Intermediate to Advanced proficiency)
  • Proven ability to rapidly build working prototypes
  • Strong analytical and problem-solving skills
  • Hands-on experience with LLMs, prompt engineering, and function calling
  • Knowledge of API integration and handling diverse data types
  • Familiarity with Git and collaborative development practices

Nice to Have Technical Skills

  • Experience building Agentic AI systems, chatbots, or AI summarization tools
  • Exposure to OpenAI, Anthropic, Hugging Face, or similar frameworks
  • Familiarity with Streamlit, FastAPI, or Flask for building front-end/demo interfaces
  • Understanding of cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Cloud Platform Vertex AI, etc.)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Black Rock Group