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4 часа назад

Applied AI Engineer (Gen AI)

175 000 - 275 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied AI Engineer (Gen AI): Designing, building, and deploying advanced generative AI systems for code review and developer productivity tools with an accent on RAG, RLHF, and multi-step agentic reasoning. Focus on optimizing LLM-based systems, developing retrieval pipelines, and integrating AI into production-grade developer workflows.

Location: Hybrid (San Francisco, USA)

Salary: $175,000 – $275,000 + Equity

Company

hirify.global is an R&D company creating the next generation of Gen AI-driven code reviewers to enhance human-machine collaboration in software development.

What you will do

  • Design and optimize LLM-based systems for high-quality, context-rich code reviews.
  • Build and refine agentic workflows that utilize multi-step reasoning across various contexts.
  • Develop knowledge base and retrieval pipelines, including chunking, embeddings, and semantic search.
  • Deploy generative AI models and pipelines into production and monitor their performance.
  • Apply RLHF, ranking, and reward modeling techniques to iteratively improve response quality.
  • Collaborate with product and engineering teams to align AI outputs with user needs.

Requirements

  • Must be based in or able to work hybrid in San Francisco, USA.
  • Degree in Computer Science, AI, or equivalent practical experience.
  • 3+ years of experience applying ML or LLM-based systems in real-world production.
  • At least 2 years of industry experience specifically focused on generative AI.
  • Strong programming proficiency in TypeScript and Python.
  • Experience with LangChain, LlamaIndex, OpenAI APIs, or vector databases (e.g., Pinecone, Lancedb).

Nice to have

  • Experience optimizing RAG systems and tuning retrieval performance.
  • Hands-on experience with RLHF pipelines and behavioral policy tuning in LLMs.
  • Experience integrating LLM systems into developer tools or collaborative workflows.
  • Track record of contributions to open-source projects or AI/ML publications.

Culture & Benefits

  • Opportunity to shape a new development paradigm with cutting-edge Gen AI technology.
  • High level of ownership, managing projects end-to-end from proposal to production.
  • Collaborative and innovative environment within a tight-knit team.
  • Investment in professional growth through mentorship and development opportunities.
  • Competitive compensation package including salary and equity.
  • Hybrid work culture combining weekly in-person collaboration with remote flexibility.

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