Senior AI Engineer
Tasks
- Architect LLM retrieval agent systems for production
- Build traceable explainable auditable AI outputs
- Collaborate cross functionally to operationalize AI safely
- Decompose complex tasks into agentic workflows
- Design LLM powered systems for multi step reasoning
- Develop agentic workflows with retrieval and tool use
- Embed human in the loop workflows and safety guardrails
- Ensure privacy preserving data handling and robust failure modes
- Implement evidence grounded regulatory reasoning
- Optimize latency cost reliability and evaluation
Perks/Benefits
- 401k plan
- Flexible vacation policy
- Flexible work policy
- Health and wellness benefits
- Paid Holidays
- Parental leave
- Stock equity
Skills/Tech-stack
Agent Frameworks | Embeddings | Evaluation | Graph Databases | Human-in-the-loop | Knowledge graphs | Language Models | Large Language Models | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Snowflake | The Loop | Tool use | TypeScript | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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