Job highlights

- Demonstrated delivery of multiple production-grade Kore.ai implementations across development,integration,testing,deployment,and support. . Advanced hands-on knowledge of Kore.ai XO Platform and current AI Agent capabilities
- Experience integrating Azure OpenAI,OpenAI,or other enterprise LLM services with Kore.ai.

Required Experience and Qualifications 5+ years of software engineering experience, including substantial hands-on experience delivering conversational AI solutions and at least 3 years working with Kore.ai.

Demonstrated delivery of multiple production-grade Kore.ai implementations across development, integration, testing, deployment, and support.

Advanced hands-on knowledge of Kore.ai XO Platform and current AI Agent capabilities; practical exposure to Agent Platform/Artemis, Search AI, Knowledge AI, XO Contact Center AI, or Agent Assist is highly desirable.

Solid experience with dialog design, intents, entities, context, multilingual NLU, prompts, tools, LLM orchestration, RAG, vector search, grounding, hallucination controls, and response evaluation.

Proficiency in JavaScript, Node.js, JSON, and REST APIs; working knowledge of Python and SQL or NoSQL data stores.

Experience with API management, authentication, SSO, OAuth 2.0, JWT, certificates, webhooks, and enterprise integration patterns.

Experience with Azure and modern engineering practices including Git, CI/CD, automated testing, Docker, and Kubernetes.

Ability to diagnose complex issues across the Kore.ai platform, channels, APIs, middleware, cloud services, and dependent enterprise systems.

Strong technical documentation, stakeholder communication, estimation, problem-solving, and mentoring skills.

Preferred Skills

Kore.ai professional or advanced certification relevant to the Artemis Platform, AI Agents, Search AI, contact center, or agent platform development.

Experience integrating Azure OpenAI, OpenAI, or other enterprise LLM services with Kore.ai.





Experience with Genesys or another enterprise contact-center platform, voice gateways, speech-to-text, text-to-speech, call flows, and human-agent transfer.

Experience delivering Arabic and English conversational experiences, with additional multilingual implementation experience preferred.

Knowledge of AI security, privacy, responsible AI, model governance, prompt-injection mitigation, content safety, and operational monitoring.

Experience with Microsoft Azure API Management, AKS, Azure DevOps, observability platforms, or equivalent enterprise tooling.

Key Competencies

Hands-on engineering depth and ownership

Structured troubleshooting and production discipline

Reusable, secure, and scalable solution design

Technical leadership without losing delivery focus

Clear communication with technical and business stakeholders

Continuous learning across fast-evolving Kore.ai and Generative AI capabilities

Success Measures

Reliable release of secure and supportable Kore.ai solutions

High intent, retrieval, and task-completion quality supported by defined evaluation metrics

Reduced defects and faster resolution through automation, observability, and engineering standards

Reusable components and documentation that improve team delivery

Effective mentoring and consistent adherence to architecture, security, and DevOps controls

Develop and configure AI agents, virtual assistants, dialog tasks, workflows, forms, prompts, tools, and reusable components on the Kore.ai platform.

Apply current Kore.ai AI Agent and Agent Platform capabilities, including agent nodes, structured outputs, prompt libraries, runtime context, tool calling, memory, debugging,



evaluation, and deployment controls.

Configure Search AI and Knowledge AI solutions, including content ingestion, connectors, chunking, metadata, access controls, retrieval quality, and enterprise knowledge grounding.

Design and implement deterministic and Generative AI conversation flows using NLP/NLU, DialogGPT or equivalent orchestration, LLM prompts, RAG, context management, guardrails, and fallback handling.

Integrate Kore.ai with enterprise applications and APIs using REST, SOAP, GraphQL, webhooks, SDKs, middleware, and event-driven patterns.

Build omnichannel experiences for web, mobile, Microsoft Teams, WhatsApp, voice, IVR, and contact-center channels, including agent handoff.

Implement SSO, OAuth 2.0, secrets management, RBAC, data protection, auditability, and platform security controls.

Write clean, maintainable JavaScript/Node.js and Python code for custom logic, middleware, webhook services, and platform extensions.

Create automated unit, conversation, regression, integration, performance, and security tests; troubleshoot production issues using logs, traces, analytics, and transcripts.

Implement CI/CD, source control, environment promotion, configuration management, release procedures, rollback controls, and production monitoring.

Perform peer reviews, enforce coding and conversational design standards, mentor developers, and contribute reusable accelerators and technical documentation.

Collaborate with product owners, conversation designers, architects, API teams, security, QA, and operations to deliver measurable business outcomes.

Required Experience and Qualifications

5+ years of software engineering experienc

... Kore AI, Claude

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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