Junior GenAI Engineer, AI and Automation Department

Who we are – WE ARE:

• Leaders in innovation and a favorite brand of thousands of Bulgarians

• Different and we encourage diversity - this gives us invaluable advantages

• Flexible, operational and without barriers in the organization and internal communication

What makes us different - THE UNIQUE TEAM OF:

• Colorful, interesting and valuable personalities

• Professionals striving for the maximum

• Like-minded people who like, support and value each other

Contribution and key responsibilities:

• Create and iterate on prompts for tasks such as structured data extraction, text generation, summarization, and basic data analysis — learning to produce high-quality, contextually accurate outputs from large language models (LLMs)

• Assist in designing multi-step AI agent workflows using LangChain and LangGraph, gaining hands-on experience with document processing pipelines, state management, and human-in-the-loop patterns

• Use Python daily to build automation tools, API integrations, and data preparation scripts for generative AI workflows

• Integrate OCR / Document Intelligence services into document digitization pipelines and participate in building post-processing flows that combine OCR output with LLM-based structured extraction

• Containerize, deploy, and troubleshoot solutions using Docker, with exposure to CI/CD pipelines (Jenkins) and Linux environments

• Collaborate proactively with the team and stakeholders — identify problems early, propose solutions, and deliver without waiting to be told what to do next

• Explore and apply RAG workflows involving vector databases (Qdrant), embedding models, document chunking, and semantic search — initially guided, with growing independence

• Stay curious and research new prompt techniques, RAG architectures, agentic AI patterns, and emerging tools to continuously improve output quality and personal skill set

For efficiency and effective role performance:

• Bachelor’s degree in Mathematics, IT or equivalent - completed or in progress

• Hands-on experience with Python (personal projects, coursework, or self-study count)

• Demonstrated curiosity across a broad technology stack — we expect exposure (even self-taught) to most of the following: LLM IDEs (experience with several, with an opinion on when to use which), LLM tools (OpenAI API, LiteLLM, Langfuse, Qdrant, LangChain/LangGraph, Tool Calling), React (FE basics), Python (BE), Postgres, Docker, Linux & Shell Scripting

• At least one public GitHub project showcasing working software — clean structure, proper secrets handling, and sensible file organization matter

• Proficiency in English at a good working level

• Proactive mindset — you find solutions to problems rather than waiting for a Jira ticket to appear

• Analytical thinking and good communication skills

Prospects and opportunities:

• To be successful and receive recognition - with us, the path from a personal initiative to a working practice is quick and short

• To feel understanding and support – every day we build and preserve the pleasure of our work together