AI Engineer
Tasks
- Build and orchestrate agent workflows
- Build model evaluation frameworks for LLM quality
- Collaborate with platform data and product teams for end to end solutions
- Deploy and manage models with Vertex AI or Azure AI Foundry
- Design and develop LLM powered applications and AI agents
- Design and optimize RAG pipelines
- Ensure observability for LLM applications in production
- Implement AI guardrails and safety mechanisms
- Implement human in the loop decision workflows
- Integrate MCP servers for tool and context orchestration
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | APIs | Azure | Azure AI | Azure AI Foundry | GCP | Hallucination detection | Hierarchical Chunking | Human-in-the-loop | Hybrid search | Injection Defense | Kafka | Kubernetes | LLM Evaluation | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Microservices | Model Context Protocol | Natural Language | Natural Language Processing | Observability | Output Validation | Policy enforcement | Prompt injection | Prompt injection defense | PubSub | Python | Regression testing | Reranking | Retrieval-Augmented Generation | Semantic chunking | The Loop | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer
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