Lang Chain Deployment AI Engineer
Tasks
- Build LLM powered assistants copilots and chatbots
- Create operational documentation and runbooks
- Deploy AI applications with Docker and Kubernetes
- Develop agent workflows with LangGraph
- Establish automated evaluation and quality engineering
- Implement AI security and responsible AI practices
- Implement LangSmith tracing evaluation and monitoring
- Implement rag pipelines
- Integrate AI solutions into CI/CD pipelines
- Integrate LLM APIs vector databases and business tools
- Monitor production systems and improve reliability
- Optimize AI performance and cost
- Support design and code reviews and knowledge transfer
- Translate AI architectures into production systems
Perks/Benefits
Skills/Tech-stack
AI Search | API Security | AWS | Anthropic | Audit Logging | Azure AI | Azure AI Search | CI/CD | Cloud platform | CloudWatch | Datadog | Docker | Elasticsearch | Encryption | Google Cloud | Google Cloud Platform | Grafana | IAM | JavaScript | Kubernetes | Langchain | Langgraph | Microsoft Azure | Milvus | OpenAI | OpenSearch | OpenTelemetry | PGVector | Pinecone | PostgreSQL | Prometheus | Python | RAG | Redis | Retrieval-Augmented Generation | Secrets management | TypeScript | Vector Database | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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