We are looking for a Backend / GenAI Engineer to join our team and play a key role in designing, building, and maintaining scalable backend systems. You’ll work closely with cross-functional teams to develop robust APIs, integrate GenAI models into production environments, and contribute to the overall architecture of our platform. This is a great opportunity to shape innovative products in a fast-paced, collaborative startup setting.

Requirements

• Minimum of 3-5 years of experience as a backend engineer, with strong exposure to production-grade GenAI systems.
• Proven hands-on experience in designing and deploying scalable backend architectures.
• Solid practical experience working with large language models, prompt design, and prompt optimization techniques.
• Proficiency in Python (or equivalent), with experience in backend frameworks.
• Familiarity with GenAI orchestration frameworks (e.g., LangChain, LlamaIndex, semantic agents) and multi-agent collaboration protocols (MCP).
• Strong understanding of cloud platforms, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Excellent problem-solving skills and ability to work independently in a fast-paced, dynamic environment.

Responsibilities

• Design, build, and maintain scalable backend systems to power advanced GenAI applications.
• Develop robust APIs and services that integrate with large language models, prompt pipelines, and agent orchestration frameworks.
• Optimize prompt engineering workflows, prompt chaining, and response handling to deliver efficient, high-quality generative AI outputs.
• Implement and manage frameworks for GenAI agent management, including multi-agent collaboration patterns (MCP).
  

What we offer

• Direct cooperation with the already successful, long-term, and growing project.
• Flexible work arrangements.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Help and support from our caring HR team.