SIMULATIONS
Assess What Matters
Our simulations measure real engineering skills across different domains
Backend Engineer Assessment
Candidates work on real backend challenges: designing RESTful APIs, optimizing database queries, implementing authentication systems, and building scalable microservices architecture.
- Fix production bugs in a real codebase
- Design API endpoints for new features
- Optimize slow database queries
- Implement error handling and logging
3hr
Duration
4
Skills Measured
98%
Accuracy
Technical DepthPractical SkillsSpeedQuality
92
API Design
88
Database Optimization
85
System Architecture
90
Error Handling
A+
Overall
Technical DepthPractical SkillsSpeedQuality
94
ML Pipeline Design
89
Model Evaluation
91
Data Processing
87
LLM Integration
A+
Overall
Applied AI Engineer Assessment
Evaluate candidates on practical AI/ML skills: building data pipelines, fine-tuning models, implementing RAG systems, and integrating LLMs into production applications.
- Build end-to-end ML pipelines
- Implement retrieval-augmented generation
- Optimize model inference latency
- Design evaluation frameworks
4hr
Duration
4
Skills Measured
96%
Accuracy