Agentic AI Engineer
Tasks
- Architect multi-agent systems
- Build LLM pipelines
- Build and deploy agentic AI systems
- Collaborate with compliance stakeholders
- Collaborate with product managers
- Deploy and monitor AI features
- Design agentic AI products
- Design human-in-the-loop workflows
- Develop RAG solutions
- Evaluate agent performance
- Implement memory management
- Implement observability for agents
- Implement tool use and orchestration
- Instrument and monitor in production
- Iterate based on user feedback
- Mitigate hallucinations
- Participate in code reviews
- Perform prompt engineering
- Validate LLM outputs
Perks/Benefits
- 401k plan
- Autonomous work
- Discretionary time off
- Fertility benefit
- Flexible work arrangement
- Hybrid work model
- Paid parental leave
Skills/Tech-stack
AWS | AWS IAM | AWS Lambda | Agent Orchestration | Amazon Bedrock | Datadog | Hallucination mitigation | Human-in-the-loop | LLM | Memory Management | Multi-Agent | Multi-agent orchestration | Observability | Prompt engineering | Python | RAG | SageMaker | The Loop | Tool use | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Agentic AI Engineer | Engineer | Software Engineer
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