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# AI Platform Engineer - 3043318

- **Company:** Apex Systems LLC
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Applications Architecture, Software Applications, Cloud Computing, Cloud Engineering, Cluster Analysis, Information Engineering, Data Governance, DevOps, Programming Tools, Expert Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Natural Language Processing, Productivity Software, Software Engineering, AI Infrastructure, Enterprise Data Management, Google Cloud, Spring Cloud, ReactJS, Large Language Models, Model Validation, Fastapi, AI Platforms, AngularJS, Information Technology, Front End Software Development, Virtual Agents, Api Design, Software Coding, Microservices
- **Published:** July 24, 2026
- **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/397048142

## About the Role

* 5+ years of professional software engineering experience.
 * Demonstrated hands-on coding expertise with modern application development practices.
 * Experience building and operating AI-powered applications or LLM-based systems in production environments.
 * Ability to interpret ambiguous business requirements and independently deliver robust, well-tested solutions.
 * Experience designing scalable cloud-native applications.

Technical Skills

 * Artificial Intelligence and Expert Systems
 * Large Language Models (LLMs)
 * Agent-based AI architectures
 * API development and microservices
 * Python development
 * FastAPI
 * Frontend development using Angular or React
 * Production software engineering and DevOps practices

Agentic AI Experience

 * Experience building agent-based systems using frameworks such as:
 + Google Agent Development Kit (ADK)
 + CrewAI
 + LangGraph
 + Similar agent orchestration platforms
 * Familiarity with agentic development tools and AI-assisted coding environments, including:
 + OpenCode
 + Claude Code
 + Comparable AI developer productivity tools

Preferred Qualifications

Cloud & Platform Experience

 * Google Cloud Platform (GCP)
 * Cloud-native application architecture
 * Platform engineering and AI infrastructure

Machine Learning & AI

 * Applied machine learning experience, including:
 + Embeddings
 + Classification
 + Clustering
 + Natural Language Processing (NLP)
 + Model evaluation and benchmarking
 * Experience implementing AI evaluation frameworks and quality metrics.

Data & Governance

 * Familiarity with:
 + Data engineering principles
 + Enterprise data platforms
 + Metadata management
 + Data governance processes, * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.



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