Senior AI Research Engineer
Tasks
- Build learning to rank systems
- Conduct technical discussions and code reviews
- Create evaluation frameworks for retrieval and agents
- Design agentic infrastructure for legal workflows
- Develop LLM retrieval experiments
- Develop prototypes for production readiness
- Document and communicate research findings
- Drive research to production transition
- Implement grounding and validation for model responses
- Lead research projects on LLMs and legal AI
Perks/Benefits
- Dental coverage
- Flexible time off
- Health insurance
- Hybrid work environment
- Pension contribution
- Recognition program
Skills/Tech-stack
Agent Orchestration | Chunking | Contextual Embeddings | Data Preprocessing | Data Processing | Dense embeddings | Evaluation | Human-in-the-loop | Hybrid search | Inference Optimization | Information Retrieval | Language Models | Language Processing | Large Language Models | Learning-to-Rank | Machine Learning | Model grounding | Natural Language | Natural Language Processing | Prompt Chaining | Prompt engineering | Query Augmentation | Reranking | Sparse embeddings | The Loop | Unstructured Data | Unstructured Data Processing | Vector Search
Education
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