Senior Applied AI Engineer
Tasks
- Collaborate with cross functional stakeholders in Agile teams
- Deploy and manage end to end AI solutions
- Develop prompt engineering techniques
- Fine-tune generative AI models
- Improve models using data driven insights
- Integrate LLM APIs into applications
- Lead development of LLM based AI solutions
- Maintain peak deployed model efficiency
- Monitor model performance post-deployment
- Use cloud platforms for ML deployment
Perks/Benefits
- 401k retirement savings plan
- Annual cash bonus
- Equity grants
- Flexible time off
- Generous parental leave
- Health, dental, and vision insurance
- Lifestyle spending account
- Mental health support solutions
- Remote first work from home culture
Skills/Tech-stack
AWS SageMaker | Amazon Bedrock | Azure Machine Learning | CI/CD | Cloud platform | Deep learning | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Ollama | OpenAI | Prompt engineering | PyTorch
Education
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