Sr. AI Engineer
San Francisco, CA, United States
USD 164K-266K Senior-level Full Time
Tasks
- Apply AI to quote configuration
- Architect AI solutions
- Automate discounting and approvals
- Build embedding and vector search
- Define AI cost efficiency standards
- Define AI latency standards
- Define AI observability standards
- Define AI reliability standards
- Deliver end-to-end AI solutions
- Design agentic workflows
- Detect billing anomalies
- Develop tool calling and orchestration
- Ensure AI output accuracy
- Ensure AI outputs explainable
- Establish model evaluation and guardrails
- Forecast renewals
- Implement data governance for AI
- Implement retrieval-augmented generation
- Implement security compliance privacy for PII
- Integrate AI services with CPQ
- Integrate AI services with CRM
- Integrate AI services with billing
- Prevent revenue leakage
- Productionize AI systems
- Prototype AI solutions
- Provide pricing recommendations
- Support contract intelligence
- Translate lead to cash requirements to technical designs
Perks/Benefits
- Compassionate care leave
- Full health benefits
- Learning and development
- Paid parental leave
- Paid time off
- Retirement plans
Skills/Tech-stack
AWS | Agentic Workflows | Artificial Intelligence | Billing | CI/CD | CPQ | CRM | Compliance | Containerization | Distributed Systems | Docker | Embeddings | GDPR | Go | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Microservices | Observability | Orchestration | PII | Privacy | Python | Retrieval-Augmented Generation | Security | SoC | System Reliability | Tool-Calling | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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