> Markdown version of [/jobs/ext/1796244-artificial-intelligence-expert-systems](https://www.wearedevelopers.com/jobs/ext/1796244-artificial-intelligence-expert-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence & Expert Systems - **Company:** Ip Technology Services, Inc. - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cluster Analysis, Information Engineering, Data Governance, Expert Systems, Python (Programming Language), Machine Learning, Metadata, Natural Language Processing, Scrum Methodology, Search Technologies, Software Engineering, SQL Databases, Enterprise Data Management, Google Cloud, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Fastapi, AngularJS, Information Technology, Production Code, Front End Software Development, Software Coding - **Published:** July 22, 2026 - **Apply:** https://www.dice.com/job-detail/c6ff7963-a59b-4ab7-8e5e-0f8e73e522eb ## About the Role * Artificial Intelligence & Expert Systems Skills Preferred: * Google Cloud Platform 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. ## 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 (Google Cloud Platform) 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. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)