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rest apis llms rag vector databases n8n📋 Description
- Implement AI-driven and Conversational AI solutions across NiCE.
- Build integrations, configure conversational AI platforms, ensure quality deliverables.
- Design and integrate APIs, webhooks, and microservices for LLM workflows.
- Apply prompt engineering, RAG pipelines, and agent orchestration techniques.
- Evaluate models and retrieval strategies for accuracy, latency, cost.
- Stay current with evolving LLM ecosystems and AI tooling.
🎯 Requirements
- Bachelor's degree in Computer Science or related field.
- 4–7 years of software development experience building scalable, high-performance enterprise applications.
- Strong understanding of AI and NLP technologies, including LLMs, RAG, AI agents, GPTs, and Copilot-style.
- Hands-on experience with automation and orchestration tools such as n8n, Copilot Studio, or similar.
- Proficiency in REST APIs, JSON, cloud SDKs, and integration technologies.
- Familiarity with vector databases, embeddings, and RAG architecture.
🎁 Benefits
- NiCE-FLEX hybrid model: 2 days in office, 3 days remote.
- Internal career opportunities across roles, domains, locations.
- Collaborative, fast-paced team with market-leading AI focus.
- Opportunities to learn, grow and innovate.
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