Senior Software Engineer -AI

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. About the Role NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models. The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC. How will you make an impact? Agentic AI POCs Pilots Design and build Agentic AI proofs of concept Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements. Prototype rapidly Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible. Development Engineering Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows. Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team. Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM AI Model Expertise Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases. Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements. Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling. Collaboration Knowledge Sharing Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities. Engage with customers directly to understand requirements and translate them into practical AI solution designs. Have you got what it takes? Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience. 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem. Programming proficiency: . Experience with REST APIs, JSON, cloud SDKs Familiarity with data processing, vector databases and embedding pipelines for RAG architecture. Ability to debug, iterate quickly, and deliver working demos under tight timelines. AI Machine Learning Understanding Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI. Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination. Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs. LLM Usage Prompt Engineering Proficient with LLM APIs including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama. Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design. Version Control Collaboration Tools GitHub / Git proficiency: Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows. Ability to manage, share, and version AI demo assets and code in shared repositories accessib ... (truncated, view full listing at source)