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.

· Robust 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.

📌 Koreai Developer (Pune)
🏢 InfoVision
📍 Pune