Junior AI & LLM Engineer

Eurosoft; United States; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Remote-first work

Hybrid option in Tashkent

Mentoring from senior engineers

Market-level USD salary

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

LLM ecosystem

Embeddings

Vector search

Prompt design

RAG concepts

OCR familiarity

Job description

Role overview

Develop retrieval-augmented generation workflows, AI assistants, and agents using open or hosted language models. The work includes building document-aware systems and assessing the quality of their answers.

Responsibilities

• 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 workflows that use OCR.
• Evaluate answer quality and improve system behavior through iteration.
• Learn through code reviews and mentoring from senior engineers.

Requirements

• Up to two years of experience, or strong personal or university projects.
• Python and familiarity with the LLM ecosystem, including hosted APIs or open models.
• Understanding of RAG concepts such as embeddings and vector search.
• Ability to design prompts and evaluate generated answers.
• Experience handling documents such as PDFs; OCR familiarity is relevant.
• Good written English; Russian or Uzbek is a plus, along with willingness to learn through feedback.

Benefits and work setup

• Remote-first work, with a hybrid option in Tashkent.
• Mentoring and code review from senior engineers.
• Salary in USD based on experience, described as market-level.