Senior AI Software Engineer
Tasks
- Build production services for tool calling and agent memory
- Define service boundaries APIs data models and state management
- Design scalable agentic AI systems
- Develop distributed low latency services for AI workloads
- Drive engineering excellence through code reviews design reviews and deployment automation
- Establish AgentOps and LLMOps practices for tracing monitoring and evaluation
- Evaluate and operationalize generative AI and agentic workflow technologies
- Integrate AI agents with enterprise APIs cloud services databases identity and secrets
- Own production outcomes for reliability performance security cost and supportability
- Serve as technical owner for OCI AI platform capabilities
Perks/Benefits
- 401k match
- Adoption Assistance
- Commuter & Parking Benefits
- Employee stock purchase plan
- Flexible spending accounts
- Life insurance
- Life insurance AD&D
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Voluntary insurance
Skills/Tech-stack
API Development | Agent coordination | Agentic AI | Distributed Systems | Experimentation | GPU efficiency | Inference Optimization | Java | Language Models | Large Language Models | Long Context | Long Context Systems | Machine Learning | Model Serving | Monitoring | Multi-Agent | Multi-Agent Coordination | Multi-tenant | Multi-tenant architecture | Observability | Policy enforcement | Prompt engineering | Python | Regression testing | SLI | SLO | SQL | Security | Tenant architecture | Tool-Calling | Tracing | Vector Retrieval | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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