Sr. AI Engineer
Tasks
- Build RAG systems
- Build production machine learning systems
- Collaborate with product, design, engineering
- Deploy and monitor models
- Design vector database pipelines
- Develop tool function calling
- Ensure model observability
- Fine-tune and train models
- Implement AIOps monitoring
- Implement evaluation pipelines
- Improve model quality from usage
- Integrate LLM features
- Orchestrate AI workflows
- Prototype AI solutions
- Set up data pipelines
Perks/Benefits
- 401k access
- Department stipend
- Employee assistance program
- Health benefits
- Home office stipend
- Lunch and learns
- Paid parental leave
- Paid time off
- Remote work
- Wellness events
Skills/Tech-stack
AIOps | Agents | Data Pipelines | Deep learning | Distributed Systems | Dspy | Evaluation Pipelines | Factual accuracy | Faiss | Foundation Models | Go | Haystack | Human Alignment | Java | JavaScript | LLM integration | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Memory routing | Milvus | Model Evaluation | Model Interpretability | Model Observability | Natural Language | Natural Language Processing | Pinecone | Python | Retrieval-Augmented Generation | Tool-Calling | TypeScript | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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