Lead AI Engineer
Tasks
- Architect and deploy AI agent solutions
- Communicate technical concepts to diverse audiences
- Conduct workshops and knowledge transfer sessions
- Create adapter patterns for core AI isolation
- Create quality baselines for self monitoring
- Customize agent patterns with tool integrations and security models
- Design evaluation frameworks for production with real data
- Design secure data pipelines
- Develop diagnostic methodologies for critical issues
- Develop documentation and knowledge transfer protocols
- Develop evaluation frameworks for model effectiveness
- Drive adoption and capability demonstrations
- Ensure AI engineering design governance and standards alignment
- Establish implementation playbooks
- Fine tune model selection and routing strategies
- Identify expansion opportunities
- Implement model adaptation techniques
- Implement monitoring for edge cases and performance degradation
- Lead enterprise system integrations
- Mentor client technical teams
- Optimize latency reliability throughput
- Optimize prompt engineering for business domains
- Serve as technical bridge between engineering and client stakeholders
- Transform business workflows into production agent outcomes
- Troubleshoot in constrained client environments
Perks/Benefits
- Accident insurance
- Bereavement leave
- Dental insurance
- Dependent care reimbursement accounts
- Disability insurance
- Employee assistance program
- Group Legal Insurance
- Health insurance
- Life insurance
- Medical insurance
- Paid parental leave
- Paid time off
- Retirement plan with employer contribution
- Sick leave
- Vacation
- Vision insurance
Skills/Tech-stack
AWS Outposts | Agent Orchestration | Agent memory | Air gapped deployment | Air-gapped | Asyncio | Audit Logging | Azure Stack | Benchmarking | Cause analysis | Confidence Intervals | CrewAI | Custom agent memory | Data Lake | Data Pipelines | Data Tokenization | Data Warehouse | Distributed Systems | Docker | Edge Computing | Event Processing | FastAPI | Fault Tolerance | GPU Utilization | High Throughput | High-throughput event processing | Horizontal scaling | Inference Optimization | Instrumentation | Java | Kubernetes | Langchain | Langgraph | MLflow | Microservices | Model Optimization | Model Registry | Model routing | Monitoring | Multi-Agent | Multi-agent orchestration | On-Premises | On-premises deployment | Oracle | Parallelization | Power analysis | Private Cloud | Profiling | Prompt engineering | Pydantic | Python | Ray | Real Time | Real Time Debugging | Regression testing | Root Cause Analysis | Root cause | SAP | Salesforce | Scaled inference optimization | Secure Data | Secure data pipelines | Secure inference | Statistical Evaluation | Technical documentation
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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