Senior AI Software Engineer
Tasks
- Build production services for tool calling and agent memory
- Define APIs and data models for AI platform services
- Design Agentic AI systems
- Develop distributed low latency inference services
- Establish AgentOps and LLMOps practices
- Evaluate emerging generative AI and agentic technologies
- Integrate AI agents with enterprise APIs and cloud services
- Lead engineering excellence with reviews and testing
- Own reliability and security outcomes for production systems
- Serve as technical owner for AI platform capabilities
Perks/Benefits
- 401k match
- Adoption Assistance
- Commuter benefits
- Dental insurance
- Employee stock purchase plan
- Flexible spending accounts
- Flexible work benefits
- Health insurance
- Life insurance
- Paid Holidays
- Paid sick leave
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Agent Orchestration | CI/CD | Distributed Systems | Docker | Evaluation | Experimentation | GPU Optimization | GRPC | Generative AI | Inference Optimization | Java | JavaScript | Kubernetes | Language Models | Large Language Models | Linux | Logging | Machine Learning | Metrics | Model Context Protocol | Model Serving | Multi-tenancy | Multi-tenant architecture | Observability | Prompt Tool Versioning | Prompt engineering | Python | REST APIs | Regression testing | Secure Multi-tenant | Secure Multi-tenant Architecture | Tenant architecture | Tool versioning | Tracing | TypeScript | Vector Databases
Education
N/A
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