Software Engineer, AI/ML
Tasks
- Address latency and cost constraints
- Build LLM powered features
- Build vector store retrieval pipelines
- Develop RAG systems
- Evaluate model performance and behavior
- Handle edge cases and prompt brittleness
- Integrate models into production
- Optimize relevance and retrieval quality
- Prototype prompts and pipelines
- Serve and monitor ML systems
Perks/Benefits
Skills/Tech-stack
Cost Optimization | Evaluation | Go | Hybrid retrieval | Keyword search | Language Models | Large Language Models | Latency optimization | Learning operations | Machine Learning | Machine Learning Operations | Model Integration | NLP | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Search | Text Chunking | Transformers | TypeScript | Vector Databases
Education
N/A
Regions
Countries
States
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