AI Engineer
Tasks
- Build and orchestrate AI agent workflows
- Build model evaluation frameworks
- Collaborate with platform, data, and product teams
- Deploy and manage models with Vertex AI or Azure AI Foundry
- Design and develop LLM applications
- Design and optimize RAG pipelines
- Ensure observability for LLM applications
- Implement AI guardrails
- Implement chunking strategies
- Implement human-in-the-loop systems
- Implement retrieval strategies
- Integrate MCP servers for tool orchestration
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | API Design | Azure AI | Azure AI Foundry | Benchmarking | Cloud Computing | Cloud PubSub | Cloud platform | Containerization | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Google Cloud PubSub | Guardrails | Human-in-the-loop | Hybrid search | Injection Defense | Kafka | Kubernetes | LLM Evaluation | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Logging | Metrics | Microservices | Microsoft Azure | Model Deployment | Natural Language | Natural Language Processing | Observability | Output Validation | Policy enforcement | Prompt injection | Prompt injection defense | Prompt testing | PubSub | Python | Reranking | Retrieval-Augmented Generation | The Loop | Tracing | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer
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