Senior AI Software Development Engineer
Tasks
- Apply safety guardrails for agents
- Build MCP servers and API gateways
- Build agent orchestration frameworks
- Conduct performance testing and benchmarking
- Create observability and evaluation pipelines
- Develop reusable SDKs and libraries
- Implement RBAC and secure data handling
- Implement prompt engineering and token efficiency
- Integrate Gemini models via Vertex AI
- Optimize inference latency and throughput
- Support developer adoption with documentation and code samples
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Frameworks | Authentication | Authorization | Batching | Caching | Distributed tracing | Docker | Embeddings | Evaluation Pipelines | Function Calling | Gemini API | Go | JSON Schema | Java | Kubernetes | LLM | Latency optimization | Logging | Microservices | Observability | OpenAI API | Prompt engineering | Python | RAG | RBAC | Retrieval-Augmented Generation | Streaming | Structured Output | Telemetry | Tool-Calling | TypeScript | Vector Databases | Vertex AI
Education
N/A
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