AI Evaluation Engineer - Proofline

Fermi AI; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fermi AI is seeking an AI Evaluation Engineer for on-site work in Bengaluru, focused on building evaluation scaffolding and quality layers for AI features. You will manage eval harnesses, test infrastructure, and release gates across AI assistants like Claude and ChatGPT, adapting to host differences and evolving models.

The role requires 3–6 years of experience, strong Python or TypeScript skills, and hands-on API testing with Playwright or Cypress.

Qualifications

• Background in SDET/QA automation or ML evaluation.
• Strong programming skills in Python or TypeScript, with experience in API-level testing and tools like Playwright or Cypress.
• Familiarity with LLM applications or evaluating non-deterministic systems.

Responsibilities

• Build and maintain evaluation harnesses for AI-facing features to measure system quality.
• Own end‑to‑end and API test infrastructure (Playwright‑class) for daily releases.
• Design host‑behavior probes using scripted sessions across diverse AI assistants.
• Gate production releases through thorough user acceptance testing and quality reporting.

Skills

SDET/QA automation

ML evaluation

Python

TypeScript

Tools

Playwright

Cypress

API testing

Job description

About The Role

Building with AI is easy to prototype, but proving reliability in production is a major challenge. In AI-native codebases, verification is the key bottleneck for scaling capabilities. As an AI Evaluation Engineer, you will take ownership of the evaluation scaffolding and quality layer, including eval harnesses for AI-facing features, test infrastructure, and release gates. You’ll play a critical role in monitoring how our product behaves across AI assistants (e.g., Claude, ChatGPT), accounting for differences by host and continual changes.

Location: HSR, Bengaluru (On-site)

Experience: 3-6 years

About The Role

Building with AI is easy to prototype, but proving reliability in production is a major challenge. In AI-native codebases, verification is the key bottleneck for scaling capabilities. As an AI Evaluation Engineer, you will take ownership of the evaluation scaffolding and quality layer, including eval harnesses for AI-facing features, test infrastructure, and release gates. You’ll play a critical role in monitoring how our product behaves across AI assistants (e.g., Claude, ChatGPT), accounting for differences by host and continual changes.

Responsibilities

• Build and maintain evaluation harnesses for AI-facing features to measure and tune system quality (e.g., capture quality, retrieval quality, guidance quality)


• Own end‑to‑end and API test infrastructure (Playwright‑class), supporting a continuous, daily‑release cycle


• Design and execute host‑behavior probes using scripted user sessions across diverse AI assistants, ensuring product behavior aligns with expectations


• Gate production releases through thorough user acceptance testing (UAT), regression analysis, and quality reporting

Requirements

Background in SDET/QA automation or ML evaluation, with proven ownership of test or evaluation infrastructure—not just executing tests

Strong programming skills in Python or TypeScript, with experience in API-level testing and tools like Playwright or Cypress

Familiarity with LLM applications or a demonstrated interest in evaluating non-deterministic systems

Highly autonomous and able to define your own workflows and processes for evaluation and verification