Senior AI Engineer
Tasks
- Add human in the loop controls
- Analyze failure modes
- Build stateful agent systems
- Catalog automation opportunities
- Collaborate with business stakeholders to map workflows
- Create reusable agent design patterns
- Design agentic workflows
- Develop planner executor architectures
- Develop tool augmented agents
- Evaluate agent performance
- Implement guardrails and observability
- Implement reflection based reasoning
- Integrate agent runtime and orchestration
- Optimize speed and accuracy
- Stay current on AI regulations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | Agent systems | Amazon Bedrock | Amazon SageMaker | Arize | Autogen | Backend APIs | CrewAI | Data Pipelines | Data Protection | Evaluation Frameworks | Function Calling | Hallucination mitigation | Injection prevention | Knowledge graphs | LLM | LLM APIs | Langgraph | Langsmith | MCP | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Privacy | Prompt injection | Prompt injection prevention | Python | RAG | Streaming | Vector Databases | Weights and Biases | Workflow Orchestration
Education
N/A
Roles
Regions
Countries
States
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