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United States of America, Massachusetts, Boston

LLM Platform Engineer at AllSpice | Boston, United States

Company/Recruiter: AllSpice

Published on: Oct 20, 2026 · Closes Nov 19, 2026 12 views
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Opportunity snapshot

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Opportunity type

Job

Location

United States of America, Massachusetts, Boston

Work arrangement

Location-based; remote work not stated

Compensation

Not disclosed

Closing date

Nov 19, 2026

Employer

AllSpice

Prepare your application

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Proven experience with LLM platforms and related technologies.; Strong programming skills in relevant languages (e.g., Python).. Use one concrete example that shows you can Design, implement, and manage scalable LLM infrastructure..

Check before applying: Confirm that United States of America, Massachusetts, Boston and the stated work arrangement suit you, check the closing date of Nov 19, 2026.

  • Apply before Nov 19, 2026.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.
AllSpice is seeking a talented LLM Platform Engineer to join our innovative team and help shape the future of hardware development. We are building a cutting-edge automation engine for circuit design, driving breakthroughs in intelligent technology. This role offers an exciting opportunity to contribute to a rapidly evolving field.

Job Overview

The LLM Platform Engineer will be instrumental in developing and maintaining our large language model platform. You will work closely with our engineering teams to integrate and optimize LLM capabilities into our hardware development tools.

Key Responsibilities

  • Design, implement, and manage scalable LLM infrastructure.
  • Develop and maintain robust APIs and interfaces for LLM integration.
  • Monitor LLM performance and troubleshoot issues.
  • Collaborate with data scientists and software engineers on model deployment and fine-tuning.
  • Contribute to the selection and evaluation of LLM technologies.

Requirements

  • Proven experience with LLM platforms and related technologies.
  • Strong programming skills in relevant languages (e.g., Python).
  • Experience with cloud platforms (e.g., AWS, GCP, Azure).
  • Understanding of machine learning concepts and workflows.
  • Excellent problem-solving and analytical abilities.

What We Offer

  • Competitive compensation and benefits.
  • Opportunity to work on groundbreaking technology.
  • A collaborative and dynamic work environment.
  • Professional development and growth opportunities.

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