Agentic AI and BI Engineer

We are looking for a versatile BI Engineer to join

our Business Intelligence Engineering team.

You will design and build advanced vizualizations

, develop AI Agents and the platform that hosts them and create modern data applications(tools, interfaces and etc.)

that turn raw enterprise data into measurable business outcomes.

If you enjoy combining strong engineering

practices with curiosity for Agentic AI and data visualization and you want your work to directly influence

operational decisions, this position is for you.

Responsibilities:

AI Agent

Development:

Develop AI Agents using modern LLM frameworks for use cases such as analytics

assistants, automation and decision support.

Engineer prompts, tools,

memory and orchestration logic to deliver reliable agent behavior.

Integrate agents with internal data sources, APIs, and enterprise

applications.

Platform Development for

Agents:

Contribute to building the internal platform that hosts, deploys and monitors AI

Agents.

Develop reusable components for agent orchestration, evaluation,

observability and governance.

Apply best practices in security,

scalability and lifecycle management of Agentic AI services.

Data

Applications:

Design and develop end-to-end data applications(tool/interfaces) using Python,

React/JavaScript and etc.

Build APIs, dashboards, and interactive

interfaces that expose advanced analytics to business users.

Collaborate

with data engineering, analytics, governance and business teams to ensure data quality, lineage, and

performance.

Advanced

Analytics:

Develop advanced analytical models and translate them into actionable insights for

business stakeholders.

Define standards and templates that improve

consistency and reusability across BI deliverables.

Requirements:

Bachelor's or Master's degree in Computer Science, Software Engineering, Data

Science, Information Systems or a related technical field.

3+ years of

professional experience in BI engineering, advanced data analytics or data software

engineering.

Strong programming skills in Python (data processing, APIs,

automation, AI/ML libraries).

Solid frontend development skills with

React and JavaScript/TypeScript.

Experience working with relational and

analytical databases and writing performant SQL.

Familiarity with REST

APIs, version control (Git) and modern software development practices.

Understanding of data architecture concepts: data warehousing, data lakes, ETL/ELT

pipelines.

Preferred

Qualifications:

Understanding of LangChain, LangGraph, LlamaIndex, Semantic Kernel, Autogen, or

similar

Experience with vector databases and Retrieval-Augmented

Generation (RAG) architectures.

Familiarity with cloud platforms such as

Azure, AWS, or GCP, including their AI/ML and data services.

Knowledge of

containerization (Docker), orchestration (Kubernetes) and CI/CD pipelines.

Exposure to monitoring, and evaluation of AI systems in production.

We Offer:

5/2, 09.00-18.00;

Meal

allowance;

Annual performance bonuses;

Corporate health program: VIP voluntary insurance and special discounts for

gyms;

Access to Digital Learning Platforms.

Note: Only candidates who meet the

requirements of the vacancy will be contacted for the next stage.

Interested candidates can send their CV to the

e-mail address in the Apply

for job button.