AI Platform Engineer - 3043318

Apex Systems LLC
Dearborn, MI, United States
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Applications Architecture Software Applications Cloud Computing Cloud Engineering Cluster Analysis Information Engineering Data Governance DevOps Programming Tools Expert Systems Python (Programming Language)
+21 more
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

Requirements

  • 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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