17 AI Engineer jobs

• Analyze requirements, design AI/NLP solutions.
• Collaborate with PM and team members to plan and report on implementation progress.
• Build and maintain pipelines that process text documents and support efficient information retrieval.
• Integrate LLMs with enterprise data sources (databases, APIs, SaaS platforms) and optimize retrieval and inference performance.
• Test and improve pipelines, data processing modules, and LLM integration to ensure reliable, scalable, and high-performance systems.
• Proactively contribute ideas to improve system architecture and overall project efficiency.

Job requirement

• Bachelor with major Computer Science/ Software engineer
• +3 years of experience in as a Backend Developer or AI/NLP Engineer
• Proven experience with AI/NLP Application
• Proficiency in Python (2+ years) 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, metadata-driven 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.
• Highly motivated to learn and keep up with the latest technologies.
• Ability to communicate and collaborate effectively.

Nice to have:

• Experience with search and retrieval systems (e.g., Azure AI Search, Elastic, or hybrid search solutions).
• Understanding of LLM orchestration and product workflows (e.g., multi-step pipelines, chatbot architecture).
• Familiarity with LLM evaluation/testing frameworks (e.g., Ragas, Promptfoo).
• Experience with MLOps practices for LLM (model lifecycle, monitoring, drift detection).
• Experience with CI/CD pipelines (e.g., GitHub Actions).
• Experience with monitoring and logging systems (e.g., Sentry, Grafana).

• Salary according to staff capacity
• Provide Mac-book Pro 16 maximum options
• Basic salary increases once time/per year, and income levels increase according to the productivity and experience of staff contributing reality to the project
• Bonus (minimum bonus on Lunar New Year of 1-month salary and up to 4 months depending on the business situation)
• Outstanding individual bonus
• Company trip
• Healthy check
• Company tea break/party