Applied AI work at Enterpret centers on making LLM-powered customer-feedback features reliable after launch. This is a production research role: defining evaluations is as important as choosing a model, and the engineer stays involved when failures reach users.

Posted 2026-01-07 on the employer's public board; verified open on 1 November 2026. Location: Bengaluru.

About Enterpret

Enterpret builds a customer-intelligence platform that organizes feedback from sources such as reviews, surveys and support conversations. Its engineering listings describe production AI systems for turning that feedback into useful product insights.

The work

Define measurable evaluation rubrics and rollout criteria for AI features.
Build retrieval, agent or hybrid systems around the actual product problem.
Add tests and monitoring, then trace production failures across data, infrastructure and model behavior.

Eligibility and skills

The following is a condensed summary of the employer's requirements, not extra eligibility set by GetFirstJob.

Previous experience shipping AI systems and supporting them after release.
Python engineering skills, testable code and debugging across system boundaries.
Practical experience with modern LLMs, prompts, fine-tuning or supporting tools.
Ability to design evaluations that reflect how customers use a feature.

Who this suits

Fits engineers who can connect an experiment to a maintained product. The listing does not give a minimum number of years, but it explicitly expects previous production AI ownership. It should not be presented as an entry-level research internship.

Preparation notes

Prepare a production example with an evaluation plan, a failure you found after launch and the change that prevented it recurring. Explain why retrieval or agents were appropriate rather than starting with a preferred framework. These preparation suggestions are editorial guidance, not a confirmed interview process.

How to apply

Read the full listing and apply on the employer's official posting. The Greenhouse URL is provided by the employer's public jobs feed. Requirements and availability can change after our check. No numerical salary is stated for this India role in the source, so none is estimated here.

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Source

Verified against the employer listing and its public Greenhouse feed on 1 November 2026. Posted date comes from the feed's first_published field. This is an original summary with a direct application link, not a reproduced job description.

This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.