Назад
6 часов назад

Applied AI Engineer

170 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Страна
US
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Описание вакансии

TL;DR
Applied AI Engineer (AI/LLM): Building candidate-job recommendation systems, recruiter workflow AI agents, and model evaluation environments with an accent on embeddings, vector databases, fine-tuning, and production LLM features. Focus on improving match quality, designing simulation systems, and defining the architecture for AI-driven hiring products.

Applied AI Engineer

Company

Squad

Conditions

1 day agoSeniorSalary: 170K - 230KNew York, USA Onsite Full Time Ai Jobs by Squad

Squad Squad is an AI-enabled recruiting platform that aggregates referrals from thousands of vetted recruiters to deliver shortlisted candidates to hiring companies. It focuses on expert-verified technical talent and hands-off hiring workflows. Company intelligence Distributed About Squad Squad provides a recruiting platform for companies seeking to hire high-quality talent, including Web3 and technical roles. It combines a referral network of elite recruiters with AI and expert interviews to screen candidates, generate best-fit shortlists, and reduce hiring administration. Its clients are companies scaling their teams that want faster access to vetted, off-market candidates. View jobs by Squad

Skills

Ai Api Embedding Evaluation Fine-Tuning Full-Stack Llm Recommendation Simulation Vector Database

Candidate Availability

Onsite · New York City · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the technical vision and execution for AI products. You will build candidate-job recommendation systems, design AI agents for recruiter and operations workflows, fine-tune models on proprietary hiring data, and create evaluation and simulation environments to improve match quality. You will work directly with the founder to define priorities, architecture, and future technical needs.

Requirements

  • 3+ years of software engineering experience
  • Experience shipping full-stack AI or LLM features in production
  • Proficiency with LLM APIs
  • Proficiency with embeddings
  • Proficiency with vector databases
  • Proficiency with fine-tuning
  • Experience in a high-intensity, high-velocity environment

Responsibilities

  • Build recommendation systems that predict candidate-job fit
  • Design AI agents that automate recruiter and operations workflows
  • Fine-tune models on proprietary hiring data
  • Create evaluation and simulation environments to improve match quality
  • Define matching, automation, and infrastructure initiatives

Benefits

  • Health insurance
  • Unlimited PTO
  • Daily office lunch
  • Office dinner after 7pm

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