AI Engineer — Personalization & Job Matching at Scale

LandEarly

United States

Remote

USD 120,000 - 180,000

Full time

13 days ago
Application generator

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Job summary

LandEarly is looking for an AI Engineer to build and improve AI-driven systems that power our auto-apply product — including resume and cover letter personalization, job matching, and the intelligent Q&A flows that surface candidate strengths.

You will design, build, and maintain AI/ML pipelines, refine prompting and retrieval, and optimize models for live job postings, with close collaboration across product and engineering to deploy features in the web app and browser extension, while

Qualifications

  • Experience building and shipping AI/ML systems in production.
  • Proficient in Python and backend API design.
  • Hands-on with prompt engineering, embeddings, or fine-tuning.
  • Ability to work with real-world text data and evaluation frameworks.

Responsibilities

  • Design, build, and maintain AI/ML pipelines for resume tailoring, cover letter generation, and job-to-candidate matching.
  • Develop and refine prompting, retrieval, and fine-tuning approaches for large language models used in production.
  • Build systems to evaluate output quality, reduce hallucination, and ensure generated content reflects a candidate's real experience.
  • Collaborate with product and engineering to integrate AI features into the web app and browser extension.
  • Monitor, test, and improve model performance, latency, and cost in production.
  • Work with data from live job postings and user profiles to improve matching and personalization accuracy.

Skills

Python
LLMs in production
API design
Backend services
Prompt engineering

Job description

LandEarly is looking for an AI Engineer to build and improve AI-driven systems that power our auto-apply product — including resume and cover letter personalization, job matching, and the intelligent Q&A flows that surface candidate strengths.

You will design, build, and maintain AI/ML pipelines, refine prompting and retrieval, and optimize models for live job postings, with close collaboration across product and engineering to deploy features in the web app and browser extension, while

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