Design and execute POCs that push the boundaries of conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions.
Develop, maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation.
Help deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and scalable solutions.
Own technical initiatives involving cross-functional teams, delegating work effectively while maintaining high standards through technical review.
Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions.
Requirements
Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers.
5+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2--4 years).
Deep expertise in conversational AI, NLP, and dialogue systems with proven track record of delivering production systems.
Strong software engineering fundamentals including system design, data structures, algorithms, and software architecture.
Experience in working on complex technical projects and delivering technical outcomes.
Excellent communication skills with the ability to influence and explain complex concepts across organizational levels.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Independent judgment in developing novel approaches to challenging AI problems.
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