Artificial Intelligence & Expert Systems
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
TITLE: 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 DONT 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 teams technical anchor for tough problems.
- Collaboration: Work with Product Data Engineering and Platform teams; mentor others support sprint planning and help onboard new 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 teams go-to technical expert.
Skills Required:
- Artificial Intelligence & Expert Systems
Skills Preferred:
- GCP
Experience Required:
- Bachelors 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:
- Bachelors Degree
Education Preferred:
- Masters Degree
Required Skills:
If you are interested please send your Updated Resume with the following info at the earliest; Full Legal Name: Current City State Zip: Interview Availability: Start availability: Work Authorization: Phone No: Hourly Rate: