Senior AI Engineer
Tasks
- Assess emerging AI and ML technologies
- Build ETL pipelines
- Build and maintain APIs and microservices
- Design and develop full-stack AI applications
- Ensure data quality, security, and compliance
- Evaluate LLM architectures
- Fine tune retrieval for precision and recall
- Implement role based access encryption and audit logging
- Implement vector databases and semantic search
- Integrate document management CRM and engagement systems
- Maintain prompt engineering frameworks
- Mentor junior engineers
- Optimize chunking and embeddings
- Partner with engineering and data science teams
Perks/Benefits
- 401k matching
- Dental insurance
- Education and certification assistance
- Employee assistance program
- Family care leave
- Flexible time off
- HSA employer contribution
- Health insurance options
- Parental leave
- Profit share
- Vision insurance
Skills/Tech-stack
API Development | Access Control | Audit Logging | Chunking | Data Security | Document processing | ETL | Embeddings | Encryption | Fine Tuning | Haystack | LLM Architecture | Langchain | Llamaindex | Logging | Microservices | Monitoring | OCR | Prompt engineering | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Semantic Search | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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