Innovation Senior AI Engineer
Tasks
- Assist integration configuration
- Build evaluation frameworks
- Define Responsible AI practices
- Define prompt engineering standards
- Design AI pipeline architecture
- Design RAG system
- Design agentic application architecture
- Detect data quality issues
- Detect model drift
- Ensure AI outputs are explainable
- Establish evaluation monitoring and continuous improvement
- Execute AI strategy
- Generate transformations from natural language
- Implement intelligent validation layer
- Implement production monitoring
- Measure AI output quality
- Select and manage LLMs
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Systems | Agno | Apache Airflow | Azure | Embeddings | Evaluation Frameworks | LLM | Langchain | Llamaindex | MLOps | Model Monitoring | PGVector | Pinecone | Prefect | Prompt engineering | Python | RAG | Temporal | Vector Databases | Weaviate
Education
N/A
Roles
Regions
Countries
States
Cities
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