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.