AI LLM Engineer
Ridgefield, CT, United States, Connecticut
USD 115K-222K Senior-level Full Time
Tasks
- Apply CI CD testing for LLM features
- Deploy and manage LLM configurations
- Design prompt engineering and system rules
- Develop RAG workflows
- Engineer compliance aligned prompts and reduce false positives
- Implement observability, monitoring, and logging
- Integrate API operations
- Integrate user feedback loops
- Lead LLM related activities
- Manage vector databases and knowledge graphs
- Optimize infrastructure for scale and high availability
- Set up endpoints and version control
- Track performance and errors
- Tune model parameters
Perks/Benefits
Skills/Tech-stack
API | CI/CD | Dashboards | Embeddings | Error detection | Fine Tuning | Inference acceleration | JavaScript | Knowledge graph | Knowledge graphs | LLM | Language Models | Large Language Models | LoRA | Logging | MLOps | Machine Learning | Model Compression | Monitoring | Multimodal Models | Observability | Ontology management | Prompt debugging | Prompt engineering | Python | QLoRA | Quantization | RAG | Retrieval-Augmented Generation | Schema Design | Transformers | Vector Databases
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/LLM Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
Cities
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