Senior GenAI Engineer

As a Senior GenAI Engineer at Zenskar, you will own the AI layer of our product, building the features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role. You will build production AI systems that enterprise clients depend on, which means reliability, observability, and rigorous evals matter as much as the AI capability itself. You own the full vertical, the model, the pipeline, and the UI.

Responsibilities:

• Build and own CS Copilot, a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions.
• Build LLM-powered document understanding features that extract structured, reliable data from unstructured enterprise documents.
• Own AI feature UIs end-to-end: you build the interface, not just the model integration layer.
• Design and maintain an eval framework, define what 'working' means for each AI feature and catch regressions before users do.
• Drive model selection and integration decisions, choosing the right provider and approach for each use case and managing latency and cost.
• Own AI platform reliability, observability, fallback behavior, and graceful degradation when models fail.
• Work closely with product, customer success, and the full-stack engineer. AI features only matter if they are usable and trusted by real users.
• You will define what AI means at Zenskar; the features you ship will be the most visible and differentiated parts of the product.
• CS Copilot, if done well, changes how enterprise customer success teams operate every single day; this is a high-stakes, high-visibility surface.
• You will establish the engineering culture around AI reliability at Zenskar: evals, observability, and disciplined iteration.
• Your work will directly accelerate enterprise deals. AI features are increasingly a buying criterion for our clients.
• You will be the person who brings engineering rigor to a domain where most companies ship demos and call it a feature.