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Software Mind
Software Mind
1,001 – 5,000 Employees
Artificial IntelligenceSaaSTelecommunications
Software Mind is a technology company delivering software development and digital transformation services for organizations across artificial intelligence, SaaS, and telecommunications. Its work includes custom software, mobile applications, cloud consulting, and AI-focused solutions designed around the needs of clients in sectors such as financial services, telecom, biotech, and media. With a team of more than 1,000 employees, Software Mind supports technology initiatives and digital growth for businesses operating across global markets.
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AI Engineer

Build LLM applications, retrieval-augmented generation pipelines, and intelligent automation for Software Mind’s global clients. The role spans rapid prototypes and production deployments.

PLPolandRemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudGoogle Cloud PlatformPython

Description

  • Create and deploy AI solutions, including LLM applications, chatbots, and intelligent systems.
  • Develop and refine prompt strategies through evaluation and iteration.
  • Build retrieval-augmented generation pipelines with vector databases.
  • Connect LLMs and other AI models to cloud applications and APIs.
  • Create agent workflows and AI automation solutions.
  • Assess and apply emerging AI tools, models, and frameworks.
  • Work with clients, pairing technical expertise with an understanding of their business needs.
  • Deliver AI solutions for real business needs, from prototypes to production deployments.

Requirements

  • Bring strong Python experience for AI application development.
  • Have hands-on experience with LLMs and generative AI, including OpenAI or open-source models.
  • Have practical experience using prompt engineering in production.
  • Have experience with LangChain, LangGraph, LlamaIndex, or comparable frameworks.
  • Have designed and implemented RAG architectures and worked with vector databases such as Qdrant, Pinecone, or Weaviate.
  • Have experience deploying AI applications in AWS, Azure, or Google Cloud Platform.
  • Understand AI safety, guardrails, and responsible AI practices.
  • Be able to speak and write in English.

Benefits

  • Flexible arrangements for remote work and collaboration.
  • Work on international projects for leading global clients.
  • Travel for international projects.
  • A non-corporate working environment.
  • Access to language classes.
  • Opportunities to take part in knowledge-sharing initiatives.
  • Access to private healthcare and life insurance.
  • Access to a Multisport card.

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