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14 часов назад

Applied AI Research Engineer (AI)

Тип работы
fulltime
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied AI Research Engineer (LLM systems): Building and shipping reliable AI-backed features for a customer-feedback intelligence platform with an accent on evaluation, production engineering, and end-to-end ownership. Focus on designing retrieval pipelines and agents, debugging failures across data, infrastructure, models, and prompts, and hardening systems through monitoring and regression testing.

Location: Bengaluru, India

Company

hirify.global builds an AI-native platform that centralizes customer feedback from surveys, reviews, support tickets, and communities to generate actionable product insights.

What you will do

  • Design, build, and ship AI-backed features that remain reliable in production.
  • Define quality standards through evaluation rubrics, test plans, measurable criteria, and rollout requirements.
  • Write and extend production Python code, implement monitoring, and add regression tests.
  • Own features end to end, from problem framing and modeling through system design, rollout, and iteration.
  • Debug failures across data, infrastructure, models, and prompt logic, then harden systems based on findings.
  • Design retrieval pipelines, agents, and hybrid AI systems while collaborating with product, infrastructure, and engineering.

Requirements

  • Experience building and shipping AI systems, including supporting them after launch.
  • Strong research instincts and the ability to define success and design evaluations that reflect real-world usage.
  • Strong Python engineering skills, including writing clean, testable code and debugging production systems.
  • Experience working with modern language models through prompting, fine-tuning, tooling, and evaluation.
  • Systems-oriented thinking covering interfaces, data contracts, failure modes, and rollout plans.
  • Ownership, clear communication, initiative, and a practical focus on shipping reliable systems.

Culture & Benefits

  • Research is applied directly to production systems rather than limited to papers.
  • Quality practices include evaluation plans, incident retrospectives, monitoring, and per-tenant guardrails.
  • Small, focused team working on high-impact and ambiguous engineering challenges.
  • Engineers own meaningful problems and follow them through to reliable implementation.

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