Senior AI Software Engineer
Tasks
- Build production grade services for tool calling and agent memory
- Define service boundaries and APIs for AI platform services
- Design scalable agentic AI systems
- Develop distributed services for low latency and high throughput
- Drive engineering excellence through code reviews and testing
- Establish AgentOps and LLMOps practices
- Evaluate and operationalize generative AI and agent workflows
- Integrate AI agents with enterprise APIs and cloud services
- Own production outcomes for reliability performance and security
- Serve as technical owner for OCI AI platform capabilities
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
API Design | Access Management | Agent systems | Agentic AI | C++ | Data Modeling | Deployment Automation | Distributed Systems | Evaluation | Experimentation | GPU Computing | High Throughput | Identity and Access Management | Identity and access | Incident Analysis | Inference Optimization | Java | JavaScript | LLMOps | Language Models | Large Language Models | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Monitoring | Multi-Agent | Multi-Agent Systems | Multi-tenancy | Observability | Policy enforcement | Prompt engineering | Python | Regression testing | Retrieval-Augmented Generation | SLI | SLO | Secure multi-tenancy | State management | Tool-Calling | Tracing | TypeScript | Vector Databases
Education
N/A
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