Senior AI Engineer
Tasks
- Build ETL pipelines and integrate with document management CRM and engagement systems
- Build and maintain APIs and microservices
- Design develop and optimize full stack applications using RAG
- Ensure data quality security and compliance with role based access encryption audit logging
- Evaluate LLM architectures and maintain prompt-engineering frameworks
- Implement vector databases and semantic search
- Optimize chunking embeddings and retrieval parameters
- Partner with teams to deliver AI capabilities and mentor junior engineers
- Stay current on emerging AI ML technologies and assess applicability
Perks/Benefits
- 401k matching
- Cell phone reimbursement
- Dental coverage
- Education and certification assistance
- Employee assistance program
- Family care leave
- Flexible time off
- HSA contribution
- Health insurance
- Parental leave
- Profit share
- Travel rewards
- Vision coverage
- Well-being incentive
Skills/Tech-stack
API Development | Access Control | Audit Logging | Compliance | Data Quality | Document processing | ETL | Encryption | Haystack | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | Monitoring and Logging | OCR | Prompt engineering | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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