Associate Staff Engineer Kore.ai Conversational AI Developer
Nagarro · Remote, India · posted Sep 23, 2026
Open to candidates in India
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What this role actually asks for
Extracted by RemoteHuntMust have
- •4+ years total experience
- •3+ years Kore.ai platform experience
- •JavaScript, Node.js, Python
- •REST APIs and JSON
- •Prompt Engineering, LLMs, RAG, Vector Databases
- •Agentic AI concepts and architectures
Nice to have
- •Multi-agent orchestration
- •AI observability platforms
- •Banking/Financial Services domain experience
- •Kore.ai Developer/Artemis certification
Tools and technologies
The full posting
Company Description
👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight.
We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18,700 + experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.
Job Description
• Total Experience 4+ years • Strong experience in Chatbot / Conversational AI development • 3+ years of hands-on experience with the Kore.ai platform • Strong experience with Kore.ai XO10, XO11 or Artemis • Strong hands-on experience with JavaScript, Node.js and Python • Strong knowledge of REST APIs and JSON • Experience with Prompt Engineering, LLMs, RAG and Vector Databases • Strong understanding of Agentic AI concepts and architectures • Experience integrating enterprise applications with conversational AI solutions • Experience with multi-agent orchestration and AI observability platforms is preferred • Banking / Financial Services domain experience is preferred • Kore.ai Developer / Artemis certification is preferred RESPONSIBILITIES: • Develop, configure and deploy conversational AI solutions using the Kore.ai platform. • Build and enhance chatbots and AI agents using Kore XO10, XO11 or Artemis. • Design and implement Agentic AI solutions using LLMs, RAG and Prompt Engineering. • Develop integrations with enterprise applications using REST APIs, JSON, JavaScript and Node.js. • Design and implement reusable conversational AI components and agent capabilities. • Integrate LLMs, Vector Databases and enterprise data sources into AI solutions. • Implement multi-agent orchestration and AI observability practices where required. • Troubleshoot production issues and improve AI response accuracy, stability and performance. • Ensure solutions comply with security, governance and enterprise architecture standards. • Collaborate with business, technology and product teams to deliver conversational AI use cases.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
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