AI Software Engineer (m/f/n)

Summary

Job description

Our team has a young, ambitious, and innovative spirit, and we enjoy exploring the newest AI technologies, experimenting with modern approaches, and bringing practical innovation into the company. If you want to be at the forefront of working with AI and help shape how it’s used in real business and engineering scenarios, this is the right team for you. We aim to build solutions that are not only technically strong, but also secure, reliable, responsible, and impactful — with the ambition to contribute to the global developer community.

What you'll do:

Secure AI Solutions

• Design, build, and maintain secure AI-powered tools, agents, and services for internal teams and business use cases.

• Work with large language models, prompt engineering, retrieval-augmented generation, structured outputs, and agentic workflows.

• Turn research ideas and prototypes into practical solutions that solve real engineering and business problems.

Production AI Engineering

• Develop Python-based AI services and integrations with company systems such as Jira, Teams, SharePoint, Confluence, internal APIs, repositories, and data platforms.

• Deploy, monitor, and improve AI applications in production or production-like environments.

• Focus on reliability, security, cost efficiency, maintainability, and responsible use of AI.

Research, Innovation & Impact

• Explore the newest AI technologies and experiment with modern approaches before they become standard practice.

• Research how AI can improve software engineering, automation, documentation, testing, and developer productivity.

• Share learnings, document solutions, and help create impact inside the company, in the global developer community, and at international conferences.

What we’ll do:

• Share AI engineering expertise and best practices

• Support your professional and technical growth

• Give you space for research and experimentation

• Help you work with the newest AI technologies

• Create a welcoming team environment focused on learning and ownership

Our ideal colleague is/has:

• At least 1 year of practical Python development experience, including working with APIs, scripts or notebooks, automation and data-processing workflows.

• Hands-on experience with Generative AI, LLMs, prompt engineering, retrieval-augmented generation and building agents or agentic workflows.

• Experience using coding agents (GitHub Copilot, Cursor, Claude Code) with an understanding of safe review practices, testing and context management.

• Familiar with software engineering best practices such as Git, code reviews, clean code, documentation and debugging.

• Basic knowledge of common LLM application libraries and tools such as LangChain, LangGraph, OpenAI/Anthropic SDKs, vector databases.

• Basic familiarity with machine learning or data science libraries such as scikit-learn, pandas, NumPy, PyTorch, TensorFlow.

• Aware of security, privacy, and responsible use of AI.

• Active English at B2 level or higher.

• Motivated, proactive, enjoy reasearching and sharing knowledge with the team.

Basic wage component (brutto): from 2500 EUR/m. (brutto)

* The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate.
* Performance bonus 2 times per year up to 10% of the basic salary paid for the evaluation period(usually 6 months).

#LI-MF1 #senior #medior #LI-Hybrid 

Benefits

Health & well-being

• BenefitPlus
• Healthcare (check-ups/annual programs)
• Multisport card
• Travel card "električenka"
• Supplementary pension saving
• Sick days

Family

• Marriage allowance
• Childbirth allowance
• Parental contribution
• ESET family events (Family day, St.Nicholas)

Office

• Refreshments in the office (fruits, coffee, soft drinks)
• Let´s get together breakfast
• Activity room, quiet room
• ESET events (Žranica, Christmas party..), teambuildings

Other

• Loyalty allowance
• Loyalty extra days off
• Loyalty cake
• Loyalty glass award
• Refer a friend
• Christmas presents
• Discounts from external providers

Primary location

Additional locations

Time type