AI Engineer, Assistant Vice President
Tasks
- Align with enterprise compliance and auditability standards
- Apply validation explainability and hallucination mitigation techniques
- Build RAG pipelines using enterprise data
- Build and maintain AI services and APIs
- Design build deploy production AI and ML solutions
- Develop LLM based applications with prompt engineering and inference workflows
- Develop agent based multi step AI workflows
- Ensure data readiness for AI use cases
- Implement MLOps and LLMOps model deployment versioning and monitoring
- Implement data privacy security and model reliability controls
- Implement embeddings semantic search and vector retrieval
- Implement evaluation logging and rollback strategies
- Integrate AI solutions with Databricks Snowflake Azure and AWS
- Integrate AI solutions with enterprise data platforms and APIs
- Optimize performance, scalability, and cost-efficiency
- Translate business problems into deployable AI solutions
Perks/Benefits
- Additional holidays
- Hybrid work model
- Language classes
- Life insurance
- Medical package
- Paid volunteer days
- Permanent contract
- Private pension plan
- Training programs
- Well-being programs
Skills/Tech-stack
API Development | Agent workflow | Amazon Web Services | Azure | Cloud Computing | Data Engineering | Data Privacy | Databricks | Distributed Systems | Embeddings | Generative AI | Information security | LLMOps | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Microservices | Model Deployment | Model Evaluation | Model Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | Rollback | Semantic Search | Snowflake | Vector Search | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Assistant | Assistant Vice President | Engineer | President | Senior AI Engineer | Vice President
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