Senior AI Engineer
Tasks
- Build agentic workflows for business problems
- Collaborate to ship and iterate AI features
- Create evaluation framework for LLM outputs
- Design build and deploy production AI agents
- Implement RAG pipelines and retrieval tuning
- Instrument AI observability and anomaly detection
- Integrate LLMs with internal APIs and data sources
- Optimize model routing for cost and quality
Perks/Benefits
- 401k match
- Flexible paid time off
- Gym access
- HSA contribution
- Medical, dental, and vision
- Wellness reimbursement
Skills/Tech-stack
API Integration | Anomaly Detection | Artificial Intelligence | Caching | Embeddings | Evaluation | Faiss | Golden Dataset | Hybrid retrieval | Language Models | Large Language Models | Latency benchmarking | Machine Learning | Model routing | Monitoring | Observability | Pinecone | Prompt engineering | Python | Qdrant | RAG | REST APIs | Regression testing | Reranking | Retrieval-Augmented Generation | Token Management | TypeScript | Vector Databases | Weaviate
Education
N/A
Roles
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