Artificial Intelligence & Expert Systems

Job Description

Job DescriptionTITLE: Artificial Intelligence & Expert Systems
DURATION: 12 Months
LOCATION: 4 days a week in Dearborn, MI


W2 ONLY NO C2C; GC and USC only; REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME, IF NOT, DON’T SEND.

Job Description:

This is a hands-on individual contributor role focused on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (GCP)

Key expectations include:

• Architecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records.
  
• Hands-on coding: Daily production-grade code across agent frameworks, backend/frontend, LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code etc is expected.
  
• Full-stack work: Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership.
  
• Engineering excellence: Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team's technical anchor for tough problems.
  
• Collaboration: Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team's go-to technical expert.
  

Skills Required:

• Artificial Intelligence & Expert Systems
  

Skills Preferred:

• GCP
  

Experience Required:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  
• 5+ years of professional software engineering experience with demonstrated hands-on coding proficiency.
  
• Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments.
  
• Proven ability to interpret ambiguous requirements and independently deliver functional, well-tested software.
  

Experience Preferred:

• Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI, or LangGraph.
  
• Familiarity with data engineering practices and data governance processes.
  
• Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.
  

Education Required:

• Bachelor's Degree
  

Education Preferred:

• Master's Degree