Lead AI & LLM Engineer
Orlando, FL, United States
USD 130K-180K (estimate) Senior-level Full Time
Tasks
- Architect LLM orchestration workflows with external tools
- Build and maintain embedding pipelines and retrieval services
- Build conversational AI copilots and knowledge assistants
- Deploy AI applications with robust CI CD pipelines
- Design and implement RAG architectures with vector databases
- Design build and deploy generative AI applications
- Design test and optimize prompts for safety and accuracy
- Develop APIs microservices and integrations for AI capabilities
- Develop decision support and workflow automation tools
- Develop document summarization and information extraction
- Develop natural language querying solutions
- Diagnose and resolve production incidents for AI systems
- Ensure compliance with governance and regulatory standards
- Establish monitoring for model quality drift latency reliability and cost
- Establish testing frameworks and evaluation methodologies
- Implement data privacy security and access control safeguards
- Implement guardrails for hallucinations and prompt injection mitigation
- Improve robustness with testing logging and observability
- Lead technical design decisions for enterprise generative AI
- Mentor engineers and guide AI engineering best practices
- Participate in Agile delivery and guide implementation planning
- Prevent leakage of sensitive information in AI interactions
- Support explainability auditability and responsible AI practices
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Employee Assistance Program (EAP)
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Training and development
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
API Development | AWS | Access Control | Azure | CI/CD | Cloud Computing | Data Privacy | Databricks | Embeddings | Fine Tuning | Generative AI | Google Cloud | Hallucination mitigation | JavaScript | Language Models | Large Language Models | Latency optimization | Logging | MLOps | Microservices | Model Monitoring | Observability | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | RAG | Retrieval-Augmented Generation | Security | Snowflake | Testing | Training | Vector Databases
Education
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