Senior AI and ML Engineer, Agentic AI Systems
Tasks
- Build agentic workflows with evaluation feedback and experimentation
- Build evaluation benchmarking and testing frameworks
- Collaborate with software engineers to deliver production capabilities
- Design and develop AI systems with large language models and retrieval
- Design and execute experiments for accuracy robustness and trust
- Design and optimize retrieval architectures and knowledge pipelines
- Design planning and memory architectures for AI agents
- Develop reasoning capabilities across multiple information sources
- Develop semantic search using vector databases and embeddings
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Benchmarking | Debugging | Embeddings | Experiment design | Information Retrieval | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Python | Ranking Systems | Recommendation Systems | Retrieval optimization | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
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