Ai全栈开发工程师
Tasks
- Build and iterate agent platform and products
- Build enterprise RAG with document and database ingestion
- Build evaluation datasets and A B testing
- Build tool parameter schemas and validation
- Deploy private installations using Kubernetes Helm and Docker Compose
- Develop Python backend APIs queues and scheduling
- Develop React user and admin interfaces
- Engineer agent system for tooling registration and compatibility
- Handle failures degrade and retries
- Implement SaaS multi tenant quotas and capacity management
- Implement authentication and tenant isolation
- Implement chunking indexing and incremental updates
- Implement hybrid search and reranking
- Implement idempotency retry and rate limiting
- Implement multi agent collaboration and task systems
- Implement observability with tracing metrics and logs
- Implement permission filtering with access control
- Implement replay and audit systems
- Implement source attribution and citation tracking
- Implement upgrade migration and rollback plans
- Optimize model routing with caching and batching
- Orchestrate workflows using DAG and state machines
- Package offline dependencies and models
- Route and adapt model providers and adapters
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | ABAC | Asynchronous programming | Audit Logging | Authentication | Authorization | B testing | Concurrency | Data Privacy | Data masking | Docker Compose | Elasticsearch | FastAPI | Helm | Hybrid search | Idempotency | Injection Defense | JSON Schema | Kubernetes | Langchain | Langgraph | Logging | Metrics | Milvus | Multitenancy | PGVector | Performance optimization | Prompt injection | Prompt injection defense | Pydantic | Python | RAG | RBAC | Rate Limiting | React | Reranking | Retry) | System design | Task Queue | Token Budget | Tool Injection Defense | Tracing | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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