Performance Engineer - MTS
Tasks
- Analyze and tune AI agent performance
- Automate infrastructure health checks
- Automate performance anomaly detection
- Build internal AI productivity tools
- Communicate findings to technical audiences
- Evaluate performance and scalability
- Experiment with AI models
- Instrument systems for latency reliability accuracy
- Investigate performance anomalies
- Orchestrate LLM workflows
- Perform root cause identification
- Prototype and iterate on solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Algorithms | Anomaly Detection | Artificial Intelligence | Autogen | C++ | Cause analysis | Data Structures | Design Patterns | Fine Tuning | Java | LLM orchestration | Langchain | Language Models | Language Processing | Large Language Models | Latency analysis | Logs | Machine Learning | Metrics | Natural Language | Natural Language Processing | Observability | Performance Profiling | PyTorch | Python | Reliability Engineering | Root Cause Analysis | Root cause | Scikit-learn | Semantic Kernel | Telemetry | TensorFlow | Traces
Education
Roles
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