
AI Engineer
in4ge sp. z o.o.
Warsaw, Poland • 2h ago • Remote
Senior
Remote
150 - 190 PLN/yr
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PLN 150 – PLN 190/year
Quick Facts
Role: AI Engineer
Focus: End-to-end automation and LLM-based agentic AI solutions in an enterprise environment
Description
You will work in a complex enterprise environment to identify areas suitable for automation and deliver complete solutions from concept through production deployment—going well beyond proof-of-concepts. The role blends software engineering, system integration, data processing, and artificial intelligence, converting stakeholder needs into scalable technical implementations.
Responsibilities
Analyze business processes and proactively identify practical automation opportunities
Build end-to-end solutions: scripts, workflows, orchestration, and AI agents (Agentic AI)
Create assistants, copilots, and intelligent agents based on LLM models and integrate them into corporate systems and processes
Design system integrations (API, middleware) and data pipelines (ETL) / data processing solutions
Translate business requirements into scalable technical solutions with a strong focus on quality, security, and maintainability
Requirements
Strong programming skills in Python and/or C# plus engineering best practices (Git, testing, CI/CD)
Practical experience integrating systems: REST/SOAP APIs, webhooks, Microsoft Graph API, OAuth
Experience working with automation platforms (e.g., Power Automate/Power Platform, Azure Logic Apps, UiPath, n8n, Airflow, Azure Data Factory)
Experience with Microsoft Azure (Functions, Azure OpenAI, AI Services, DevOps), Docker, and SQL Server / PostgreSQL
Practical experience building solutions using LLMs and Generative AI (prompt engineering, RAG, AI orchestration)
Proactive, highly independent (self-driven) approach and excellent communication with stakeholders
Fluent English (C1) enabling direct business and technical collaboration
Benefits
B2B contract
Transparent and efficient selection process
Work in an advanced enterprise environment on real production end-to-end implementations
Broad autonomy in designing solutions and deploying modern AI tools that deliver measurable business value
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