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Software Engineer with LLM

Poland, Kielce B2B 30000.00 - 37000.00 PLN / Month · Job Posted January 17, 2026
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Job Description

You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment.

Job Responsibility

  • Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more)
  • Develop intelligent, agent-based systems to automate and assist in complex software development tasks
  • Engineer the core infrastructure for our AI agents, including components like MCP servers
  • Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based
  • Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction

Requirements

  • Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains
  • Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents
  • Strong, hands-on experience in at least one of the following: Scala, or another modern JVM language (e.g., Kotlin, Java 17+)
  • A proactive, self-starter attitude
  • Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone

Nice to have

  • A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows
  • Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS)
  • Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side

What we offer

  • Flexible hybrid work model
  • Home office reimbursement
  • Language lessons
  • MyBenefit points
  • Private healthcare
  • Training Package

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