Senior AI/ML Engineer
Tasks
- Architect and own AI systems
- Deploy AI features to production
- Design and build AI-powered features
- Establish evaluation guardrail observability loops
- Integrate AI into existing services
- Mentor and raise team technical standards
- Operate low latency inference and evaluation
Perks/Benefits
- Company equity
- Employee stock purchase program
- Flexible work arrangements
- Hack weeks
- Mental wellness programs
- Paid holidays and sick leave
- Paid parental leave
- Paid vacation time
- Paid volunteer time off
- Retirement or Pension Plan
- Wellness days
Skills/Tech-stack
AWS | Agent Orchestration | Artificial Intelligence | Azure | Cloud platform | Distributed Systems | Docker | Event Driven | Event-driven architecture | Fault Tolerance | Google Cloud | Google Cloud Platform | High Throughput | High-Throughput Systems | Information Retrieval | Kubernetes | LLM Evaluation | LLMOps | Language Models | Large Language Models | Low Latency | Low latency computing | Machine Learning | Observability | Prompt engineering | Retrieval-Augmented Generation | Streaming Data | Tracing | Vector Databases
Education
N/A
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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