We’re hiring a motivated Junior/Strong Junior (Middle-ready) AI Engineer to join a team delivering multiple AI projects across different domains. You’ll work under experienced engineers who lead architecture, while you implement hands-on components across data engineering, LLM/RAG, and AWS/MLOps. One of the likely project types is a research assistant with LLM-based extraction and citation-backed Q&A.

What you’ll do:

• Build and support data ingestion & ETL (APIs/DBs/files), parsing, validation, and transformations;

• Contribute to domain modeling & schema design (entities/relationships, migrations/versioning support);

• Implement LLM/NLP pipelines (structured extraction, classification, summarization) with basic monitoring and QA;

• Help build RAG backends and integrate assistants with apps (retrieval, grounding, citations);

• Develop/extend backend APIs & metadata stores consumed by internal tools and UIs;

• Support AWS/MLOps/DevOps work (deployments, CI/CD, logging/monitoring, runbooks) with mentorship.

Must-have:

• Python, SQL, ETL/pipeline fundamentals;

• Familiarity with ML/DS basics;

• Hands-on AWS exposure;

• Familiarity with LLMs (prompting, structured outputs, embeddings/RAG basics);

• High motivation to learn and work on AI projects.

Nice to have:

• Airflow/Dagster/Prefect, Docker, Terraform/CDK;

• Vector DB/search (pgvector/OpenSearch/Pinecone/etc.);

• Basic UI/internal tooling (React/Streamlit).

Our benefits:

• Professional and career growth promotion;
• Competitive salary;
• Paid vacations and sick leaves;
• Internal Medical Program;
• Flexible working hours;
• Regular corporate social activities;
• Regular technical training at our office;
• English courses;
• Gym, etc.