Middle/Senior Back-end Engineer (+ with experience in AI/NLP Application) - (Hybrid)

Diploma: Bachelor (excluding vocational school graduates). Major: Computer science/ Software engineer Working experienced: +3 years Proficiency in Python and SQL. Ability to customize and extend low-code platforms (e.g., Dify, N8N). Experience with vector databases and search techniques (e.g., Weaviate, Pinecone, FAISS, Milvus). Experience designing and implementing RAG pipelines (e.g., multi-source retrieval, reranking, metadatadriven search). Experience fine-tuning or adapting LLMs (LoRA, prompt engineering). Experience with text data processing (preprocessing, metadata tagging, feature extraction, embeddings). Experience working with GPT-based and open-source LLMs (e.g., OpenAI, LLaMA, Mistral). Experience deploying on cloud platforms (e.g., Azure, GCP, AWS). Strong understanding of SaaS integration and hybrid system architecture. [Nice to have] Experience with search and retrieval systems (e.g., Azure AI Search, Elastic, or hybrid search solutions). [Nice to have] Understanding of LLM orchestration and product workflows (e.g., multi-step pipelines, chatbot architecture). [Nice to have] Familiarity with LLM evaluation/testing frameworks (e.g., Ragas, Promptfoo). [Nice to have] Experience with MLOps practices for LLM (model lifecycle, monitoring, drift detection). [Nice to have] Experience with CI/CD pipelines (e.g., GitHub Actions). [Nice to have] Experience with monitoring and logging systems (e.g., Sentry, Grafana).