Related skills
python prompt engineering apis data structures ragπ Description
- Build AI-powered workflows with LLMs and real data
- Design and implement RAG pipelines using real-world data
- Integrate AI models with APIs, backend systems, and data sources
- Work with customers to deploy conversational AI solutions
- Create POVs, demos, and prototypes to showcase product
- Translate business problems into working AI solutions
π― Requirements
- Pursuing CS/Software Engineering degree
- Strong Python, data structures, APIs basics
- Hands-on with AI tools: LLM APIs
- Prompt engineering and RAG pipelines
- Embeddings, semantic search; vector databases
- LangChain and Llama Index; explain end-to-end
π Benefits
- NICE-FLEX hybrid model: 2 in-office, 3 remote
- Global career opportunities
- Collaborative, fast-paced environment
- Equal opportunity employer
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