Senior AI Data Scientist
Tasks
- Architect agentic AI systems with tool use
- Build and maintain production ready Python services
- Design RAG pipelines with vector search
- Design and deliver AI advisors assistants and analytic agents
- Develop and test prompting strategies
- Enable conversational analytics for insight generation
- Evaluate and monitor AI quality safety and trust
- Fine tune foundation models using LLM APIs
- Partner to move prototypes to scalable production features
Perks/Benefits
- 401k option
- Company bonus eligible
- Company holidays
- Floating holidays
- Health care premium contribution
- Paid Training and Education
- Paid time off
- Professional development
- Remote work
- Sick time
- Tuition reimbursement
- Vacation time
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Autogen | Azure | CrewAI | Docker | Generative AI | Google Cloud | Knowledge graphs | Kubernetes | Langchain | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG evaluation | Retrieval-Augmented Generation | Semantic Search | Tool use | Vector Databases | Vector Search
Education
N/A
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