Senior AI Software Development Engineer
Tasks
- Apply safety guardrails
- Build MCP servers
- Build agent orchestration frameworks
- Build reference implementations for agent systems
- Conduct performance testing and benchmarking
- Create reusable Gemini SDK components
- Develop multi agent collaboration patterns
- Develop secure API integration gateways
- Enforce RBAC and compliance
- Implement agent lifecycle management
- Implement caching and batching strategies
- Implement observability and evaluation pipelines
- Implement prompt engineering and structured outputs
- Integrate Gemini models via Vertex AI
- Optimize inference latency and throughput
- Provide technical guidance and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Frameworks | Authentication | Authorization | Batching | Caching | Cost modeling | Docker | Embeddings | Evaluation | Function Calling | Gemini APIs | Go | Inference Optimization | Injection Defense | Input validation | JSON Schema | Java | JavaScript | Kubernetes | LLM | Langchain | Llamaindex | Logging | Microservices | OpenAI APIs | Parallelization | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | RBAC | Streaming | Structured Output | Telemetry | Tracing | TypeScript | Vector Databases | Vertex AI
Education
N/A
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