Artificial Intelligence Senior Associate
A USD 128K-204K (estimate) Mid-level Full Time
Tasks
- Apply LLM safety guardrails and prompt injection defenses
- Build production AI and LLM applications
- Create RAG pipelines for retrieval and generation
- Deploy AI services on Google Cloud
- Design and deploy multi-agent architectures
- Develop AI algorithms and models
- Implement evaluation and observability for LLM systems
- Integrate LLM outputs with operational systems
- Orchestrate tool using agent workflows
- Perform large scale experimentation and optimization
Perks/Benefits
Skills/Tech-stack
API Design | BigQuery | CI/CD | Chunking | Cloud Build | Cloud Run | Cloud platform | CrewAI | Docker | Embeddings | FastAPI | Flask | GKE | GitHub Actions | Google Cloud | Google Cloud Platform | Guardrails | Hybrid retrieval | Injection Defense | Kubernetes | LLM Evaluation | LLM-as-judge | Langfuse | Langgraph | Langsmith | Least Privilege | Llamaindex | OpenTelemetry | PGVector | Pinecone | Prompt injection | Prompt injection defense | PubSub | Python | Qdrant | RAG | Reranking | SQL | Sandboxing | Testing | Tracing | Vector Databases | Version control | Vertex AI | Weaviate
Education
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