LANG CHAIN DEPLOYMENT AI ENGINEER ( LangGraph, LangSmith, Fleet, DeepAgents, Traces, Evaluations)
Tasks
- Build and deploy LangChain applications
- Create evaluation and testing pipelines
- Create runbooks and operational documentation
- Deploy to Kubernetes and cloud runtimes
- Develop RAG pipelines
- Implement LangGraph agentic workflows
- Implement security and responsible-AI controls
- Integrate LLMs and tools
- Optimize performance and cost
- Package services in containers
- Set up observability with LangSmith
- Transfer knowledge to customer teams
Perks/Benefits
Skills/Tech-stack
AI Search | API Development | AWS | Adversarial Testing | Anthropic | Asynchronous programming | Audit Logging | Azure AI | Azure AI Search | CI/CD | Citation | Cloud platform | Docker | Elasticsearch | Embeddings | Encryption | End to End | End-to-End Testing | Google Cloud | Google Cloud Platform | Grounding | IAM | Injection Defense | Integration Testing | JavaScript | Kubernetes | Langchain | Langgraph | Langsmith | Load Testing | Metadata filtering | Microsoft Azure | Milvus | OpenAI | OpenSearch | PGVector | Pinecone | PostgreSQL | Prompt injection | Prompt injection defense | Python | RAG | Redis | Regression testing | Reranking | Retrieval-Augmented Generation | Secrets management | Streaming | Tool integration | TypeScript | Unit Testing | Vector Database | Vector Search | Weaviate
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | LangChain Deployment AI Engineer
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