AI Engineer
Tasks
- Apply explainability and model validation
- Build and maintain LLM applications
- Build cloud native AI ML pipelines
- Build intelligent agents
- Design, develop, and deploy AI solutions
- Develop backend services and APIs
- Ensure security, privacy, and governance compliance
- Evaluate AI technologies via proofs of concept
- Implement MLOps and LLMOps
- Implement rag pipelines
- Implement responsible AI controls
- Manage AI solution lifecycle
- Monitor bias and mitigate hallucinations
- Orchestrate AI agents
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Databricks | Deep learning | Explainability | Hugging Face | LLMOps | Langchain | Langgraph | MLOps | Machine Learning | Microservices | Microsoft Fabric | Model Deployment | Model Governance | Model Monitoring | OpenAI | Prompt engineering | PyTorch | Python | RAG | SQL | Semantic Search | Spark | TensorFlow | Vector embeddings
Education
Roles
AI | AI Engineer | Engineer
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