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Tier-1 brand but senior, niche LLM and orchestration skills moderate applicant competition.
Core LLM, prompt engineering, Python/Node.js and orchestration skills are broadly transferable across industries.
Explicit 9–12 years, Masters/PhD preference, and specific LLM/orchestration/tool requirements make filtering strict.
Architect, build, and deploy conversational AI bots and transactional AI agents from scratch in sandbox environments with end-to-end responsibility.
Design and manage complex automation workflows using orchestration tools like n8n, integrating multiple systems and APIs.
Develop lightweight responsive web interfaces for AI prototypes and document code and blueprints to enable production handoff.
9 to 12 years of software engineering/automation experience, including 2-3 years focused on building AI agents/bots.
Master's or PhD degree in Computer Science, Information Technology, or equivalent.
Expertise in AI orchestration frameworks like n8n, advanced JavaScript/Python programming, RESTful API handling, and GitHub usage.
Practical experience with conversational AI APIs, embedding architectures, prompt engineering, and familiarity with Microsoft 365 / MS Teams integration is highly desirable.
Experienced full-stack AI/automation engineer capable of end-to-end solution architecture and deployment in unstructured environments.
Strong in workflow orchestration, prompt engineering, and system integration for enterprise collaboration ecosystems.
Experienced in delivering scalable AI-driven HR or workforce analytics solutions with a strategic mindset for long-term technology roadmapping.