Lang Chain Deployment AI Engineer
Tasks
- Apply AI security and responsible AI practices
- Build LLM powered assistants copilots and chatbots
- Create offline and online evaluation frameworks
- Create operational documentation runbooks and dashboards
- Deploy AI applications with Docker and Kubernetes
- Develop agentic workflows with LangGraph
- Establish automated quality engineering and evaluation
- Implement LangSmith tracing evaluation and monitoring
- Implement RAG pipelines for retrieval and grounding
- Integrate AI solutions into CI/CD pipelines
- Integrate LLMs embedding models and APIs
- Monitor production systems analyze failures improve quality
- Optimize response quality latency throughput reliability cost
- Translate AI architectures into production systems
Perks/Benefits
Skills/Tech-stack
AI Search | API Security | AWS | Asynchronous programming | Audit Logging | Azure AI | Azure AI Search | Azure Monitor | CI/CD | Caching | Cloud platform | CloudWatch | Datadog | Dependency management | Docker | Elasticsearch | Embeddings | Encryption | Google Cloud | Google Cloud Platform | Grafana | IAM | Injection Defense | Integration Testing | JavaScript | Kubernetes | LLM | Langchain | Langgraph | Least Privilege | Microsoft Azure | Milvus | OpenSearch | OpenTelemetry | PGVector | Pinecone | PostgreSQL | Prometheus | Prompt injection | Prompt injection defense | Python | RAG | REST API | Redis | Secrets management | Testing | Token optimization | TypeScript | Unit Testing | Vector Database | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Engineering in Computer Science | Bachelor of Science | Bachelor of Science in Computer Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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