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Ai Engineer

Poland, Warsaw 1100.00 - 1300.00 PLN / Day · Job Posted June 10, 2026
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Job Description

We are currently looking for a candidate for the position of AI Engineer (he/she) for our client from the pharmaceutical industry. The project is focused on designing and developing advanced AI-powered platforms leveraging LLMs, RAG architectures, multi-agent systems, and orchestration frameworks to support complex enterprise workflows and decision-making processes. The environment is highly engineering-driven, with strong emphasis on scalability, reliability, observability, and production-quality AI deployments.

Job Responsibility

  • Designing and developing enterprise-grade GenAI and Agentic AI solutions
  • Building and maintaining RAG pipelines, AI agents, and orchestration workflows
  • Creating scalable AI architectures using LangChain, LangGraph, and related frameworks
  • Implementing prompt engineering strategies and optimizing LLM performance
  • Developing backend services and APIs supporting AI-powered applications
  • Integrating AI solutions with enterprise systems, data sources, and external services
  • Managing AI deployment lifecycle, monitoring, observability, and reliability processes
  • Collaborating with cross-functional teams to gather requirements and deliver business value
  • Participating in architecture discussions, code reviews, and technical decision-making
  • Supporting CI/CD processes, containerized deployments, and cloud infrastructure management
  • Contributing to continuous improvement of AI engineering standards, best practices, and platform capabilities

Requirements

  • Have strong commercial experience with Generative AI, Large Language Models (LLMs), and Agentic AI systems
  • Have hands-on experience designing and implementing RAG architectures, AI agents, and orchestration workflows
  • Are proficient in Python and comfortable building production-grade backend services and AI integrations
  • Have experience with LangChain, LangGraph, or similar AI orchestration frameworks
  • Understand prompt engineering, model evaluation, observability, and LLMOps best practices
  • Have practical experience deploying AI solutions in AWS environments, including Bedrock and related AI services
  • Are familiar with Docker, CI/CD pipelines, cloud-native architectures, and scalable distributed systems
  • Can translate business requirements into technical AI solutions and work effectively in international Agile teams

Nice to have

  • Experience with multimodal AI models (text, image, audio)
  • Familiarity with Azure AI services and cloud environments
  • Experience with MCP (Model Context Protocol) and tool-calling architectures
  • Background in traditional Machine Learning, Deep Learning, or Data Science
  • Experience working in enterprise-scale or regulated environments
  • Knowledge of AI evaluation frameworks, guardrails, and responsible AI practices

What we offer

  • Long-term collaboration
  • Technical training, certifications, and skills development
  • Competence Center mentoring
  • Clear career path
  • Employee benefits package (Multisport, private healthcare, life insurance)
  • Friendly working atmosphere, team-building events, and team-building meetings

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