Remote AI & LLM Engineer: RAG, Agents & Embeddings

Eurosoft

USA

Hybrid

USD 90.000 - 120.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Remote-first work
Hybrid option in Tashkent
Mentoring from senior engineers
Market-level USD salary

Zusammenfassung

Eurosoft in the United States is seeking a junior AI engineer to help build retrieval-augmented generation workflows and AI assistants. You will implement RAG pipelines and integrate API access to hosted or open models in real-world applications.

You will work with embeddings, vector search, and prompt design while handling documents such as PDFs, including OCR-ready workflows. The role emphasizes learning through code reviews and mentorship from senior engineers.

Qualifikationen

  • 2 years of experience or strong personal/university projects.
  • Proficient in Python and LLM ecosystems.
  • Familiar with embeddings and vector search in RAG setups.
  • Able to design prompts and evaluate outputs.
  • Experience processing PDFs; OCR familiarity helpful.
  • Good written English; Russian or Uzbek is a plus.

Aufgaben

  • Build RAG pipelines and AI assistant or agent features.
  • Integrate hosted model APIs or open models into applications.
  • Work with embeddings, vector search, and prompt design.
  • Process documents such as PDFs, including OCR workflows.
  • Evaluate answer quality and improve system behavior through iteration.
  • Learn through code reviews and mentoring from senior engineers.

Kenntnisse

Python
LLM ecosystem
Embeddings
Vector search
Prompt design
RAG concepts
OCR familiarity

Jobbeschreibung

Eurosoft in the United States is seeking a junior AI engineer to help build retrieval-augmented generation workflows and AI assistants. You will implement RAG pipelines and integrate API access to hosted or open models in real-world applications.

You will work with embeddings, vector search, and prompt design while handling documents such as PDFs, including OCR-ready workflows. The role emphasizes learning through code reviews and mentorship from senior engineers.

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