Technical Lead - Operation AI/ML Enablement | Onsite - Delaware
Tasks
- Conduct code and design reviews
- Define AI guardrails for safety compliance and PII
- Define multi LLM use case guidance
- Deliver multi LLM scenarios
- Design knowledgebase
- Develop AI agent and multi agent systems
- Establish evaluation frameworks
- Implement AI observability
- Implement MCP integration
- Implement real time evaluation
- Integrate AI testing into CI/CD
- Integrate tool use patterns
- Lead offshore sprint execution
- Manage context windows
- Own LLM API integration
- Own RAG system delivery
- Perform latency profiling
- Report status risks and blockers
- Select vector database architecture
- Set prompt engineering standards
- Track and manage AI costs
- Troubleshoot critical path features
- Unblock delivery issues
Perks/Benefits
- 401k retirement plan
- Dental benefits
- Health benefits
- Paid Holidays
- Paid time off
- Variable pay
- Vision benefits
Skills/Tech-stack
AI Agent | API Integration | AWS Bedrock | Agent systems | CI/CD | Compliance | Content Safety | Context window | Context window management | Cost Management | Evaluation Framework | Guardrails | Knowledgebase Design | LLM | Langchain | Latency profiling | Llamaindex | MCP | Multi-Agent | Multi-Agent Systems | Observability | PII protection | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SDK | Semantic Kernel | Tool use | Vector Database | Window management
Education
N/A
Roles
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