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обновлено 21 день назад

Lead Software Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead Software Engineer (AI): Driving key workstreams end-to-end, designing and shipping production GenAI features with LLMs, and improving data pipelines and platform reliability. Focus on retrieval-augmented generation (RAG), grounding/context engineering, orchestration, and guardrails.

Company

hirify.global is building AI-powered systems that understand a brand’s identity and history, then deliver that context wherever creative work happens.

What you will do

  • Take ownership of features from idea to production: plan, build, launch, and iterate with clear milestones.
  • Develop and ship GenAI features, including retrieval-augmented generation (RAG), grounding/context engineering, orchestration, and guardrails.
  • Build data pipelines to ingest, clean, transform, and index content for reliable retrieval and analytics.
  • Design and maintain APIs and services that are simple, stable, and scalable.
  • Strengthen reliability through tests, metrics, observability, and safe rollout practices.
  • Collaborate cross-functionally with Product and Design to scope, validate, and refine user-facing experiences.

Requirements

  • 5–8 years of experience building production backend or platform software.
  • Proven track record of shipping applied AI features in real products (e.g., LLMs, RAG, fine-tuning, or tools).
  • Strong data pipeline skills: preprocessing, schema design, indexing/vector search, and monitoring.
  • Fluency in at least one of Node.js, Kotlin, or Python, with the ability to learn others.
  • Familiarity with cloud environments (AWS/GCP), containers, CI/CD, and infrastructure-as-code.
  • Strong product sense with the ability to simplify scope, make trade-offs, and explain decisions clearly.

Nice to have

  • Knowledge management/search, CMS/DAM, or enterprise integrations.
  • LangChain/LlamaIndex, vector DBs, embeddings pipelines, or MCP‑style integrations.
  • Experience with evaluation of LLM systems (automatic + human review) and safety practices.

Culture & Benefits

  • Remote-first work environment spanning 60+ countries.
  • Fast-paced, high-energy environment with truth-seeking teammates.
  • Opportunities to influence the product and innovate in a thriving scale-up.
  • Continuous learning opportunities, mentoring, and leadership development efforts.

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