Agentic AI Engineer
Tasks
- Architect multi-agent systems
- Build and deploy agentic systems
- Collaborate with Product and Customer Success
- Deploy AI features
- Design agentic AI products
- Develop prompt engineering and agent design
- Ensure AI output accuracy
- Ensure regulatory compliance
- Evaluate AI features
- Implement tool use and orchestration
- Instrument agent observability
- Iterate based on user feedback
- Monitor Agent performance in production
Perks/Benefits
- 401k plan access to crypto
- Autonomous work
- Discretionary time off
- Fertility benefit
- Flexible work arrangements
- Hybrid work model
- Paid parental leave
- Team lunches snacks and drinks
Skills/Tech-stack
AWS Identity | AWS Identity and Access Management | AWS Lambda | Access Management | Agent Orchestration | Amazon Bedrock | Amazon SageMaker | Continuous Delivery | Continuous Integration and Continuous Delivery | Continuous integration | Datadog | GitHub Actions | Hallucination mitigation | Human-in-the-loop | IAM | Identity and Access Management | LLM Evaluation | Machine Learning | Multi-Agent | Multi-agent orchestration | Observability | Prompt engineering | Python | RAG | The Loop | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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