AI Engineer
Tasks
- Build and maintain LLM applications
- Build and maintain RAG pipelines
- Deploy monitor and validate AI models
- Design develop and deploy AI and ML solutions
- Develop AI agent architectures and orchestration
- Develop backend services and API layers
- Ensure AI governance security and regulatory compliance
- Evaluate emerging AI technologies via prototypes
- Implement MLOps and LLMOps pipelines
- Implement responsible AI bias monitoring and safety controls
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Apache Spark | Azure | Azure OpenAI | CI/CD | Databases | Databricks | Deep learning | Gemini API | Hugging Face | Hugging Face Transformers | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Fabric | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | OpenAI API | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Semantic Search | TensorFlow | Vector embeddings
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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