About the Position

AI Engineer

Locations: Wrocław / Kraków / Remote

Position Type: Senior

Salary: 120 - 170 PLN/h (B2B)

It is also possible to choose a different form of cooperation. The salary range shown applies to B2B cooperation. If you prefer another form of cooperation, let us know - we’ll be happy to discuss the available options and adjust the terms to the selected model.

Responsibilities

Developing and maintaining tools based on AI agents, workspaces, prompt configurations, and agent pipelines.
Integrating applications with LLM models and developing an intermediary layer such as an AI Gateway / proxy / broker.
Developing the backend of AI applications, including handling the import, indexing, and processing of documents such as PDF, DOCX, XLSX, CSV, and Markdown.
Building integrations with company tools such as Jira, SharePoint, Power BI, Grafana, n8n, and databases.
Preparing and maintaining development environments based on Docker, Docker Compose, containers, and isolated workspaces.
Collaborating on deployments, application configuration, CI/CD processes, and Kubernetes environments.
Monitoring the usage of AI models: tokens, costs, requests, metrics, and expanding dashboards in Grafana.
Testing new AI models, including open-source models, and evaluating their quality, costs, and deployment potential.
Optimizing the costs of using AI through caching, proxies, prompt compression, and best practices for token usage.
Refactoring code, conducting code reviews, fixing bugs, and organizing repositories.
Co-creating and implementing standards for using AI in projects and documenting best practices for the team.

Requirements

Experience in developing backend solutions and integrating systems via APIs.
Practical experience with AI / LLM tools, including an understanding of language models, prompts, context, tokens, and cost limitations.
Experience integrating with AI models such as OpenAI, Azure OpenAI, Gemini, Claude/Anthropic, or open-source models.
Knowledge of Docker / Docker Compose and the ability to prepare local or isolated development environments.
Experience working with Git, code reviews, conflict resolution, refactoring, and maintaining code quality.
Understanding of CI/CD, containerization, and working with testing and production environments.
Strong collaboration skills when working with development teams, DevOps, analysts, and business stakeholders.
Focus on security, access control, license compliance, and responsible use of AI tools.

Nice to Have

Experience with Python and TypeScript/JavaScript.
Knowledge of Kubernetes, AWS, or Azure.
Experience with tools such as n8n, Grafana, Power BI, Jira, and SharePoint.
Experience working with AI agents, tools such as Harness, agent frameworks, or developer workflow automation.
Experience with open-source models and running them locally or in the cloud.
Understanding of topics related to optimizing infrastructure costs and token usage.
Experience with RAG systems, semantic search, knowledge bases, or document processing.
Experience working on projects requiring compliance, audits, or high security standards.

We Offer

Opportunity to work on practical AI solutions used in internal and commercial projects.
Focus on AI agents, process automation, LLM integrations, developer tools, cost monitoring, and standards for the safe use of AI within the organization.

About the Company

We develop practical AI solutions used in internal and commercial projects. We work on AI agents, process automation, LLM integrations, developer tools, cost monitoring, and standards for the safe use of AI within the organization.

Any questions or doubts on this position? Go ahead! Contact the recruiter who is in charge of this offer.

Patrycja Kołaczek

IT Recruitment Specialist

+48 538 845 594

[email protected]

Our Recruitment Process

CV Review: We will verify your profile.
Phone Conversation: A short phone conversation with a recruiter.
F2F Meeting / Recruitment Task: Share your experience with us - a conversation with a technical person and team leader.
Feedback / Job Offer: We believe in feedback culture - you'll always get a response from us.

Individual Approach for Every Candidate

Every role is different. We respond to the needs of each candidate and the position applied for. This way, you get the best recruitment experience and we get the best team members.

Fast Process

Nobody likes waiting around. On average, from initial application to final decision, our process takes around 2 weeks. We make a conscious effort to not keep people in the dark.

Short Decision Paths

A quick decision path means less people to complicate the process. From HR to department leaders, this short path results in fast answers and clear decisions.

Feedback Always Provided

We appreciate the time, effort, and respect every candidate gives us, so we always give feedback to help you progress, regardless of the decision.

Low Percentage of Rejected Job Contracts

Very few of our offers are rejected. Between our long reputation and the engaging projects we can offer, we’re confident we can find the ideal place to help you develop and grow.

Apply Now

Univio

AI Engineer

Job description