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Location
In office (India)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Nov 3, 2026.

Overview
Company
Impact
Profile match
Data from older success and slippages are sewn into a rich and effective platform which will guarantee better control over all processes.

About Touchstones

Touchstones is an AI-native hiring company. We build role-specific engineering work samples where candidates are allowed to use AI. We capture the work trail and map every piece of evidence to the hiring team's rubric, and a human reviewer makes the call. We've run 850+ candidate screens, growing 145% month over month, and we're backed by Mucker Capital. You'd be one of the first engineers, working directly with the founder.

Location: Remote (India). Full-time, Mid-Senior level.

What you'll do

  • Build the LLM pipelines that evaluate captured work against each rubric criterion, with evidence citations and calibrated reasoning.
  • Design evaluation harnesses (golden sets, regression evals, recall/precision on evidence retrieval) so scoring quality is measured, not assumed.
  • Author and harden AI-engineering assessments: retrieval evaluation, agent tool-call guardrails, prompt-injection defenses.
  • Ship agentic features for reviewers: summarizing work trails, flagging gaps, drafting follow-up interview questions.
  • Own model choice, cost, latency and fallback across providers.
  • Keep the product's principles intact: AI advises, humans decide, no biometric signals.

Requirements

  • 5+ years in software engineering, including 2+ years shipping LLM-powered features to production.
  • Strong Python and/or TypeScript; experience with LLM APIs, structured outputs, tool calling and RAG.
  • Hands-on experience building evals and judging model quality with data.
  • A product mindset and comfort with startup ambiguity.
  • Clear written communication; able to overlap with US Pacific mornings.

Nice to have

  • Experience with hiring/HR tech, assessment design or psychometrics.
  • Background in agent safety, guardrails or red-teaming.
  • Postgres/Supabase or Next.js experience.
  • Open-source or public writing on AI evaluation.

Compensation

  • India: competitive, up to 55 LPA (higher for exceptional fit), plus early-employee equity.

How to apply

Apply through LinkedIn, or you can also send an email to [HIDDEN TEXT] with your resume, experience, the job you're applying for, and why you think you're qualified.

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