Staff Applied AI Engineer
Tasks
- Architect applied AI systems
- Build and deploy RAG pipelines
- Build scalable model serving architectures
- Develop agentic AI workflows
- Engineer and optimize prompts
- Evaluate agentic AI systems
- Fine-tune foundation models
- Implement MLOps and CI/CD pipelines
- Optimize model performance and cost
Perks/Benefits
- 401k match
- Dental insurance
- Fertility assistance
- Flexible paid time off
- Health insurance
- Mental health program
- Paid Holidays
- Paid family leave
- Paid medical leave
- Remote work
- Stock options
- Vision insurance
- Wellness subsidy
Skills/Tech-stack
AWS SageMaker | Agentic AI | Amazon Bedrock | CI/CD | Caching | Chunking | Context learning | CrewAI | Databricks Model Serving | Embeddings | Fine Tuning | Generative AI | In-context Learning | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Evaluation | Model Quantization | Model Serving | Monitoring | Pandas | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | Spacy | TGI | VLLM | Vector Databases | Weaviate
Education
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