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AI Engineer - Bengaluru

ClanX

This job is closed: the employer no longer lists it.

It helps brands monitor, audit, analyse, and act on intelligence across social content, influencer campaigns, user-generated content, and commerce.

About ClanX

The company works with Fortune 500 global enterprise brands.

Responsibilities

  • Build AI agents and reliable workflows at Live2.ai.
  • An IC4 individual contributor role covering production AI pipelines, evaluation, reproducibility, and ongoing ownership after launch.
  • Company Details Live2.ai is building an AI-native Social Content & Campaign Intelligence OS for global consumer brands.
  • Experience owning those features after launch, including handling failures and production issues.
  • Design and build AI agents and the deterministic workflows they run within.
  • Work with Backend Engineers on the services supporting these pipelines.
  • Build and operate multi-step AI pipelines that are idempotent, retryable, observable, and resumable after failure.
  • Define evaluation datasets, metrics, and release gates before shipping.
  • Make model behaviour reproducible through versioning, caching, and replay, so historical decisions can be reconstructed.
  • Protect pipelines against adversarial input and prompt injection through system design, beyond prompt instructions alone.
  • Measure cost and latency per operation, and treat regressions as bugs.
  • Work with Site Reliability Engineers to monitor provider latency, failure rates, and cost.
  • Keep the model layer swappable so changing providers requires a configuration change rather than a rewrite.

Requirements

  • https://live2.ai/ Requirements Around 3 or more years of software engineering experience, including shipping AI or LLM-backed features to production.
  • Hands-on experience building evaluation harnesses and using the results to make release decisions.
  • Strong general software engineering skills, with an understanding that reliable AI products require substantial systems work.
  • Ability to reason about and handle failures in components whose outputs can vary for the same input.

Preferred

  • Experience with multimodal pipelines involving vision, audio, or document understanding.
  • Experience building retrieval systems and evaluating retrieval quality.
  • Experience handling adversarial input, prompt injection, or abuse resistance.
  • Experience with fine-tuning, distillation, and the supporting infrastructure.
  • Experience with workflow orchestration at scale.

Job Details Bengaluru, in office.

Interview Process

Initial Screening AI Systems and Evaluation Discussion Hands-on Engineering Round Final Discussion Important Note ClanX is a recruitment partner, helping Live2.ai hire an AI Engineer.