AI Engineer

Upsaily.b2b; Kraków; Hybrid; PLN 165,000 - 234,000; Full time

Job summary

Upsaily.b2b is seeking an experienced AI Engineer to join a team building practical AI solutions. The role blends backend development, AI model integration, and system automation across on-prem and cloud environments.

You will work with OpenAI, Azure OpenAI, or open-source models, design AI agent pipelines, and optimize costs and security while collaborating with DevOps, analysts, and business stakeholders.

Qualifications

• Experience in developing backend solutions and integrating systems via APIs.
• Practical experience with AI / LLM tools, including language models, prompts, context, tokens, and cost limits.
• Experience integrating with AI models such as OpenAI, Azure OpenAI, Gemini, Claude/Anthropic, or open-source models.
• Ability to design and develop solutions based on AI agents, task automation, agent pipelines, or similar mechanisms.
• 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.
• Ability to diagnose technical issues in applications, logs, integrations, databases, and runtime environments.
• 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.

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.

Skills

Backend development

API integration

AI/LLM tooling

OpenAI integration

AI agents / pipelines

Docker / Docker Compose

Git

CI/CD

Security & compliance

Tools

Docker

Docker Compose

Git

Kubernetes

CI/CD tools

Job description

AI Engineer

Wrocław / Kraków / Remote

Senior

B2B: 120 - 170 PLN/h

UoP: 14 800 - 21 000 PLN gross

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.
• Ability to design and develop solutions based on AI agents, task automation, agent pipelines, or similar mechanisms.
• 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.
• Ability to diagnose technical issues in applications, logs, integrations, databases, and runtime environments.
• 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.

Duties

• 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.

Nice

• 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.

JoinUteam - Your team:

You will join a team developing practical AI solutions used in both 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.

This role is for someone who wants to combine backend development, AI engineering, system integrations, and experimentation with new technologies.