AI Platform Engineer - 3043318
Apex Systems LLC
Dearborn, MI, United States
18 days ago
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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
Job source
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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