TITLE: Artificial Intelligence & Expert Systems <\/span>

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DURATION: 12 Months<\/span>

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LOCATION: 4 days a week in Dearborn, MI<\/span>

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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.<\/span>

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Job Description:<\/span>

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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)<\/span>

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Key expectations include:<\/span>

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• Architecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records.<\/span>

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• 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.<\/span>

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• 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.<\/span>

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• 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.<\/span>

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• 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.<\/span><\/span><\/span>

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Skills Required:<\/span>

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• Artificial Intelligence & Expert Systems<\/span><\/b><\/span><\/span>

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Skills Preferred:<\/span>

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• GCP<\/span><\/b><\/span><\/span>

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Experience Required:<\/span>

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• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.<\/span>

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• 5+ years of professional software engineering experience with demonstrated hands-on coding proficiency.<\/span>

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• Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments.<\/span>

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• Proven ability to interpret ambiguous requirements and independently deliver functional, well-tested software.<\/span><\/b><\/span><\/span>

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Experience Preferred:<\/span>

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• Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI, or LangGraph.<\/span>

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• Familiarity with data engineering practices and data governance processes.<\/span>

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• Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.<\/span><\/span><\/span>

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Education Required:<\/span>

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• Bachelor's Degree<\/span><\/span><\/span>

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Education Preferred:<\/span>

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• Master's Degree<\/span><\/span><\/span>

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