AI Engineer
Tasks
- Add human in the loop approval gates and escalation
- Analyze failure modes and optimize speed and accuracy
- Build multi step tool augmented automation solutions
- Collaborate with business stakeholders to translate workflows
- Create evaluation and tracing driven performance improvements
- Design agent workflows with planning execution and reflection
- Develop stateful agent systems
- Identify high impact automation workflows
- Implement planner executor and reflection architectures
- Implement secure compliant AI systems
- Integrate with agent runtime orchestration memory and tool registry
- Provide feedback to improve agent platform priorities
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | AWS Lambda | Agent systems | Amazon Bedrock | Amazon SageMaker | Autogen | Backend Development | Cloud infrastructure | CrewAI | Data Pipelines | Data Protection | Evaluation Frameworks | Function Calling | Hallucination mitigation | Human-in-the-loop | Injection prevention | Knowledge graphs | LLM APIs | Langgraph | Language Models | Large Language Models | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Observability | Privacy | Prompt injection | Prompt injection prevention | Python | RAG | Real Time | Real-time Systems | Retrieval-Augmented Generation | Streaming Data | The Loop | Time Systems | Tracing | Vector Databases | Workflow Orchestration
Education
N/A
Roles
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