Middle AI & LLM Engineer

Eurosoft; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first

Hybrid option in Tashkent

Salary in USD

Job summary

Eurosoft is seeking an AI/LLM engineer to design and implement retrieval-augmented generation pipelines, AI assistants, and agent-based features. You will own document handling, retrieval design, and answer-quality evaluation from planning through production.

The role emphasizes Python development, integration of hosted model APIs, and open models, with focus on embeddings, vector search, and prompt design. Remote-first with a hybrid option in Tashkent; USD salary.

Qualifications

• 2–4 years of commercial experience in AI or LLM engineering.
• Proficiency in Python and familiarity with the LLM ecosystem.
• Experience with model APIs (OpenAI, Anthropic) and open models.
• Hands-on knowledge of embeddings, vector search, and prompt design.
• Experience evaluating answer quality and handling documents (PDFs; OCR).
• Strong written English; Russian or Uzbek is a plus.

Responsibilities

• Build RAG pipelines and AI assistant or agent features in Python.
• Integrate hosted model APIs and work with open models.
• Implement retrieval using embeddings and vector search.
• Design prompts and assess the quality of generated answers.
• Support document ingestion and processing, including PDFs and OCR.
• Own feature delivery from design through production.

Skills

Python

LLM engineering

Model APIs

Embeddings

Vector search

Prompt design

Document processing

English writing

Other languages

Job description

Role overview

Develop retrieval-augmented generation pipelines, AI assistants and agent-based applications using hosted and open language models. The work spans document handling, retrieval design and answer-quality evaluation, with ownership of features from planning through production.

Responsibilities

• Build RAG pipelines and AI assistant or agent features in Python.
• Integrate hosted model APIs and work with open models.
• Implement retrieval using embeddings and vector search.
• Design prompts and assess the quality of generated answers.
• Support document ingestion and processing, including PDFs and OCR.
• Own feature delivery from design through production.

Requirements

• 2–4 years of commercial experience in AI or LLM engineering.
• Python experience and familiarity with the LLM ecosystem.
• Knowledge of model APIs, such as OpenAI or Anthropic, and open models.
• Practical understanding of embeddings, vector search and prompt design.
• Experience evaluating answer quality and handling documents, including PDF and OCR workflows.
• Good written English; Russian or Uzbek is a plus.

Benefits and work setup

• Remote-first work, with the option of a hybrid arrangement in Tashkent.
• Work on AI assistants, private language-model and retrieval systems, and enterprise software.
• Salary set in USD according to experience.
• Join a small, experienced team and work directly with its leadership.