AI Research Engineer, Language - Reality Labs Multimodal AI Assistant Team
Tasks
- Analyze debug and optimize code for performance and reliability
- Architect scalable systems for AI enabled features
- Build and integrate LLM and generative AI capabilities
- Collaborate with cross functional teams to build AI application experiences
- Design agentic workflows and automate tasks
- Develop reusable software components for model serving
- Drive end to end execution of features
- Establish quality evaluation for AI outputs
- Implement retrieval-augmented generation patterns
- Monitor AI features and improve via feedback loops
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agentic Workflows | C plus plus | Code review | Context Management | Cost Optimization | Embeddings | Inference | Information Retrieval | Java | JavaScript | Language Models | Large Language Models | Machine Learning | Model Serving | Monitoring | Performance optimization | Prompt engineering | PyTorch | Python | Quality Assurance | Retrieval-Augmented Generation | Scalability | Structured prompting | TensorFlow | Unit Testing
Education
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