AI Engineer - United States
Tasks
- Build RAG pipelines
- Build agentic workflows
- Design LLM applications
- Develop and deploy production LLM services
- Develop prompt engineering techniques
- Generate tests and validate AI generated code
- Implement multi step multi agent systems
- Implement reranking for retrieval results
- Integrate AI features into frontend and backend
- Manage embeddings and vector databases
- Perform LLM fine-tuning
- Refactor and optimize code
- Use AI coding tools for code generation
- Work with REST APIs
Perks/Benefits
Skills/Tech-stack
CI/CD | Embeddings | Fine Tuning | Generative AI | GitHub Copilot | Java | JavaScript | Langchain | Langgraph | Language Models | Large Language Models | LoRA | NumPy | Pandas | Prompt engineering | Python | QLoRA | RAG | REST API | React | Reranking | Retrieval-Augmented Generation | Scikit-learn | Vector Database | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer
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