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About the role
Design and develop scalable backend systems using Python and microservices architecture. Build and deploy end-to-end agent AI systems using modern GenAI patterns. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and knowledge sources. Work on LLM fine-tuning, model selection, and evaluation across different AI models. Design and implement multi-agent architectures and orchestration workflows. Develop and maintain integrations with vector databases and embeddings for intelligent retrieval. Job Requirements Strong proficiency in Python and object-oriented programming concepts. Hands-on experience with LLM fine-tuning, model evaluation, embeddings, and vector databases. Experience with microservices architecture and Git collaborative development workflows. Familiarity with Docker and containerization. Strong problem-solving skills and attention to detail. Ability to innovate and apply GenAI solutions within the payment technology domain. Competitive salary. Flexible schedule. Benefits package including medical insurance and sports facilities. Corporate social events. Professional development opportunities. Well-equipped office.
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