AI-инженер (LLM)

We are an Innovation hub based, which creates vibrant startup ecosystems and technologies for AdTech & MarTech projects.

We are looking for an AI Engineer (LLM) for our Product Team!

Responsibilities

• Design, develop, and iteratively improve effective prompts, chains, and agentic workflows for a variety of tasks (e.g., data categorization, content generation, code assistance).
• Work with Open-source LLMs (e.g., Llama, Mistral) to adapt them for specific internal tasks using prompt-based techniques and parameter tuning.
• Collaborate with ML engineers on the initial data preparation and evaluation for potential fine-tuning projects.
• Create robust and user-friendly interfaces for internal AI tools, such as chatbots or text processors.
• Working with intelligent features — smart prompts in tasks and autonomous agents that gather backlogs and predict risks.
• Complex production pipelines — designing and scaling end-to-end systems from data to inference, ensuring seamless operation and rapid feature delivery.
• Design and implement systems based on Retrieval-Augmented Generation (RAG).

Requirements

• Strong experience in prompt engineering and designing effective LLM workflows (e.g., using Chain-of-Thought, few-shot learning).
• Solid Python programming skills for scripting, API interactions, and data manipulation.
• Practical, hands-on experience with the OpenAI API and/or other commercial LLM APIs.
• A solid conceptual understanding of how Large Language Models work (transformers, attention, tokenization, limitations).

Nice to have

• Familiarity with frameworks like LangChain or LlamaIndex to build complex applications.
• Basic experience with running inference of open-source LLMs locally or on cloud instances.
• Understanding of Retrieval-Augmented Generation (RAG) architecture and its implementation.
• Experience with the Hugging Face ecosystem (transformers library, loading models, running inference).

We offer freedom of choice

• With us, you'd have a cafeteria benefits system where you can choose which benefits would fit your individual needs.

And, of course, a standard pack of benefits as well

• Health insurance, fully covered 10 working days of sick leave per year, 5 additional day-offs per year, English and other languages compensation, quartile, and annual bonuses, corporate events, gifts, also food (yummy!) — you can find snacks in our worldwide working spaces and breakfasts & lunches in the offices.