Related skills
prompt engineering apis rag llm nice cxone๐ Description
- Design and build Agentic AI proofs of concept.
- Architect end-to-end Agentic AI solutions for APAC engagements with autonomous decision making and multi-step reasoning.
- Prototype rapidly with LLMs, agent frameworks, and NICE/Cognigy platform APIs.
- Develop and integrate APIs, webhooks, and microservices linking LLMs to CX workflows.
- Implement prompt engineering, RAG pipelines, and agent orchestration frameworks; stay current with the evolving LLM ecosystem.
- Collaborate with customers and internal teams to translate requirements into practical AI designs.
๐ฏ Requirements
- Bachelor's degree or equivalent experience.
- 4-8 years of software development experience in enterprise-grade software.
- Experience with REST APIs, JSON, cloud SDKs.
- Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
- Experience designing/building Agentic AI systems โ including tool use, memory, planning, and multi-agent coordination.
- Proficiency with LLM APIs (OpenAI, Claude, Gemini, Azure OpenAI, etc.) and strong prompt engineering skills.
๐ Benefits
- Global, growth-oriented environment with opportunities across roles, disciplines, and locations.
- NICE-FLEX hybrid model: 2 days in the office and 3 days remote each week.
- Internal career opportunities across multiple roles and locations.
- Equal opportunity employer; committed to diversity and inclusion.
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