Principal Software Engineer - AI Native UX
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Job Description
Structured overview of role & requirementsAbout This Role
Define and own long-term AI-native UX architecture and strategy across the platform, including design systems and interaction patterns for AI-generated content.
Design and deliver user-facing intelligent experiences involving agentic backends with emphasis on trust, transparency, and usability of AI behaviors.
Lead ownership of the UXC workspace platform, collaborate closely with ML and platform teams to translate backend AI capabilities into UX, and ensure alignment with business goals such as adoption and retention.
Minimum Requirements
15+ years of software engineering experience with senior technical leadership, focused on user experience and frontend platform engineering.
Hands-on expertise in AI-native UX with delivered AI-driven user experiences and familiarity with agentic/multi-agent systems, including understanding of agent orchestration and tool-calling protocols.
Strong frontend engineering skills (React/TypeScript, design systems) and working knowledge of backend/platform technologies (Java, Python, Kubernetes, Postgres).
Work Experience Required: 15+ years relevant experience. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in connecting UX and engineering work to measurable business outcomes like customer acquisition and retention.
Capable of end-to-end ownership including identifying AI-native UX gaps, proposing solutions, aligning cross-functional stakeholders, and executing with high autonomy and speed.
Proficient in translating complex AI agent orchestration and tool integration into user-centric, trustworthy interfaces and has experience working in collaborative ML, backend, and product environments, preferably in early-stage or startup contexts.
