Principal Gen AI Engineer (Full Stack)
Tasks
- Build retrieval-augmented generation pipelines
- Create agentic solutions with langchain and langgraph
- Design platform architecture for generative ai
- Detect model drift
- Develop ai enabled services and applications
- Develop multi-agent systems
- Document AI solutions
- Ensure least privilege and auditability
- Implement LLM-based solutions
- Implement evaluation metrics and quality monitoring
- Implement secure api development
- Integrate AI capabilities into enterprise systems
- Lead generative AI initiatives
- Mentor engineering teams
- Monitor ai services and models
- Orchestrate agent state machines
- Provide technical escalation
- Troubleshoot AI service issues
Perks/Benefits
- Commuter benefits
- Dental insurance
- Flexible workplace arrangements
- Health insurance
- Life insurance
- Maternity leave
- Paid annual leave
- Paternity leave
- Retirement savings plan
- Training opportunities
- Vision insurance
Skills/Tech-stack
API Development | Agent systems | Agentic Frameworks | Auditability | Drift Detection | Evaluation metrics | Generative AI | Google ADK | Langchain | Langgraph | Language Models | Large Language Models | Least Privilege | Logging | Model Drift | Model Drift Detection | Monitoring | Multi-Agent | Multi-Agent Systems | Retrieval-Augmented Generation | Secure Communication | Service communication | Service to Service | Service-to-service communication | State Machine | State Machine Orchestration
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack Engineer | Principal | Principal AI Engineer
Regions
Countries
States
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