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Python Software Engineer with LLM (Principal) Poland : Kielce, Kraków, Wrocław + Remote 30 000 [...]

Virtus Lab Sp. z o.o. All trademarks their respective owners

Remote

PLN 210,000 - 296,000

Full time

Yesterday
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Job summary

A dynamic software company in Poland is looking for a Python Software Engineer to join a new team focusing on revolutionizing internal developer experiences through AI-based tools. The role involves designing integrations with LLMs, developing intelligent systems, and collaborating with an international team. Candidates must have strong programming skills, especially in Python, and experience in AI/LLMs. Perks include home office reimbursement and a training package, among others.

Benefits

Building tech community
Home office reimbursement
Training Package

Qualifications

  • Proven polyglot programming skills with the ability to learn new languages.
  • Strong hands-on experience in Python.
  • Experience building or integrating LLMs or AI agents.

Responsibilities

  • Design and implement integrations with cutting-edge LLMs and APIs.
  • Develop intelligent, agent-based systems for software development.
  • Engineer core infrastructure for AI agents.

Skills

Python
Multi-language programming
LLMs integration
Communication

Tools

Docker
Kubernetes
AWS
MySQL
Job description
Python Software Engineer with LLM (Principal)

We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization.

About the role

You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools.

Python Expert

LLMs Regular

Ownership Expert

DevOps Nice to have

MLOps Nice to have

Project

Aida

What you will do

  • Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more).
  • Develop intelligent, agent-based systems to automate and assist in complex software development tasks.
  • Engineer the core infrastructure for our AI agents, including components such as MCP servers.
  • Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based.
  • Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction.

This is a greenfield project, which means you’ll have a say in the technologies we choose. Nothing is set in stone. However, our environment and the problem space suggest we’ll be working with:

Primary Languages: Python, TypeScript, Scala – based on available APIs and existing integration – but actual stack will be determined as the project progresses. The project will be based on internally developed services and solutions, utilising Scala, Java, AWS, GRPC, MySQL and more.

What we expect:
  • Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains
  • Strong, hands‑on experience in Python
  • Hands‑on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview
  • A proactive, self‑starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal‑oriented environment
  • Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone
Nice to have:
  • A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows
  • Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS)
  • Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers)
A few perks of being with us
  • Building tech community
  • Home office reimbursement
  • Training Package
  • And a lot more!
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