Senior AI Engineer
Tasks
- Architect agent systems
- Build abstraction layers for enterprise connectivity
- Build tool use orchestration
- Create early warning systems
- Create evaluation frameworks
- Define integration patterns
- Design agent memory architectures
- Design model routing systems
- Design scalable integration architectures
- Develop integration tooling
- Develop model evaluation techniques
- Develop multi-agent systems
- Establish evaluation standards
- Implement automated testing systems
- Improve routing with feedback loops
- Lead agent delivery
- Optimize model selection and prompt engineering
- Provide technical mentorship
- Run statistical analysis of system behavior
Perks/Benefits
Skills/Tech-stack
Agent systems | Asyncio | Confidence Intervals | CrewAI | Distributed tracing | Docker | FastAPI | GPU Optimization | GRPC | Grafana | Java | Kafka | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Learning operations | MLflow | Machine Learning | Machine Learning Operations | Microservices | Multi-Agent | Multi-Agent Systems | OpenTelemetry | Power analysis | Prometheus | Prompt engineering | Pydantic | Python | Ray | Redis | Regression testing | Statistical Analysis | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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