Principal AI Engineer - Vice President
USD 125K-188K Senior-level Full Time
Tasks
- Architect fault tolerant scalable AI solutions
- Build MLOps and AIOps pipelines
- Build data pipelines for LLM workloads
- Define AI system blueprint
- Deploy AI workloads on Kubernetes
- Design Agentic AI systems
- Develop RAG architectures
- Develop and deploy LLM applications
- Engineer prompts and prompt templates
- Ensure secure and compliant AI deployments
- Implement data quality and freshness mechanisms
- Implement safety guardrails and evaluation pipelines
- Integrate data from heterogeneous systems
- Mentor engineers and analysts
- Optimize vector search and retrieval strategies
- Provide AI engineering architecture guidance
- Set up CI/CD, automated testing, and monitoring
Perks/Benefits
Skills/Tech-stack
AIOps | ArgoCD | Atlas Vector Search | Azure DevOps | CI/CD | Docker | Embeddings | FastAPI | GitHub Actions | GitLab CI | Helm | Jenkins | Kubernetes | LLMs | Langchain | Langgraph | Language Processing | Llamaindex | Logging | MLOps | Machine Learning | Milvus | MongoDB Atlas | MongoDB Atlas Vector Search | Monitoring | Natural Language | Natural Language Processing | Neo4j | Neural Networks | NumPy | Observability | OpenAI | PGVector | Pandas | Pinecone | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformers | Vector Databases | Vector Search
Education
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