AI Engineer
Tasks
- Apply MLOps best practices
- Build LLM applications with prompt engineering
- Build scalable AI services
- Collaborate with cross-functional teams
- Design and deploy AI solutions
- Develop agentic frameworks
- Implement fine-tuning
- Implement retrieval-augmented generation
- Set up monitoring and performance tracing
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Apache Airflow | Apache Kafka | Autogen | Azure AI | Azure AI Search | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | ChromaDB | CrewAI | Data Factory | Databricks | Docker | Faiss | FastAPI | Flask | GitHub Actions | GitLab CI | GitLab CI/CD | Google ADK | Grafana | Jenkins | Kafka | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Langsmith | MLOps | MLflow | Milvus | Node.js | PGVector | Pinecone | Prometheus | Prompt engineering | PyTorch | Python | Ragas | Retrieval-Augmented Generation | Scikit-learn | Synapse Analytics | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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