Senior AI Engineer
Tasks
- Build ETL pipelines
- Build and maintain APIs
- Design RAG applications
- Develop microservices
- Ensure data quality, security, and compliance
- Evaluate LLM architectures
- Fine tune retrieval parameters
- Implement audit logging
- Implement encryption
- Implement role-based access
- Implement vector databases
- Integrate document management and CRM
- Maintain prompt engineering frameworks
- Mentor junior engineers
- Optimize chunking and embeddings
- Optimize retrieval and generation
- Perform semantic search
Perks/Benefits
- 401k matching and profit share
- Cell phone reimbursement
- Dental insurance
- Education and certification assistance
- Employee assistance program
- Family care leave
- Flexible time off
- HSA contribution
- Health insurance options
- Life and disability coverage
- Parental leave
- Travel rewards
- Vision insurance
Skills/Tech-stack
.NET | APIs | Angular | ETL | Embeddings | Haystack | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | Node.js | OCR | Prompt engineering | Python | React | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Vue
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | RAG Engineer | Senior AI Engineer | Senior RAG Engineer
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