Lead AI Engineer
Tasks
- Architect production AI solutions with LLMs
- Build multi step agentic systems with tools and APIs
- Collaborate with product engineering and MLOps for end to end delivery
- Deploy models and GenAI pipelines to production
- Design and iterate prompts and RAG pipelines
- Develop evaluation frameworks for model performance
- Implement safety guardrails and agent safeguards
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Disability coverage
- Employee assistance program
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Spending accounts
- Vision insurance
Skills/Tech-stack
APIs | AWS | AWS Bedrock | Agentic Workflows | Azure | Azure Prompt Flow | Batch Processing | Bias Mitigation | CI/CD | Cloud platform | Content Moderation | CrewAI | Docker | Google Cloud | Google Cloud Platform | Injection Protection | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | OpenAI API | Privacy | Prompt Flow | Prompt engineering | Prompt injection | Prompt-injection protection | Python | RAG Pipelines | Retrieval-Augmented Generation | Safety Guardrails | Streaming | Transformer Models
Education
Roles
AI Engineer | Applied AI Engineer | Data Scientist | Engineer | Scientist
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