AI Algorithm Engineer

Growatt is building an AI-powered after-sales support system to automate customer support queries with full traceability and confidence-gated responses. We are looking for an Intelligent Data Analysis Engineer who combines energy-sector domain knowledge with AI-augmented data engineering skills to design, build, and optimize the data and ML pipelines that power this system. You will work across a microservice architecture spanning document ingestion, semantic search, knowledge graph extraction, and LLM-based answer generation., * Data Pipeline Development - Build and maintain Python-based ingestion pipelines that process technical manuals, troubleshooting guides, and product documentation into searchable knowledge stores

• Embedding & Retrieval Optimization - Develop and tune the embedding service and retrieval gateway using vector search and BM25 fusion to maximize recall and precision for solar inverter support queries
• Knowledge Graph Construction - Design extraction schemas to build a product knowledge graph capturing device relationships, fault patterns, and resolution procedures with full provenance tracking
• Quality & Observability - Define evaluation metrics, build feedback loops, and curate test datasets, monitor confidence-gate thresholds (Answer/Ask/Decline/Handoff) and continuously improve automation rates
• AI-Assisted Rapid Prototyping - Use LLM-assisted coding workflows (Claude) to rapidly prototype data processing scripts, analysis tools, and service components, accelerating development cycles across the platform
• Domain-Informed Feature Engineering - Leverage solar energy and power electronics domain expertise to design features, taxonomies, and retrieval strategies that improve the system's ability to resolve technical support queries accurately
• Cross-Service Integration - Collaborate with the AI and OSS teams to ensure retrieved evidence meets citation and confidence requirements

Do you have experience in Technical support?, Do you have a Master's degree?, * MSc or PhD in Materials Science, Physics, Electrical Engineering, Data Science, or a related STEM field

• Strong Python skills (Pandas, NumPy, Scikit-learn) with experience building data processing and analysis pipelines
• Experience with AI/ML workflows - embeddings, vector similarity search, or information retrieval systems
• Domain knowledge in renewable energy, solar PV systems, battery technology, or power electronics
• Proven AI-assisted development - productive use of LLM coding assistants (Claude, ChatGPT, Copilot) for rapid prototyping and data analysis
• Data visualization proficiency (Matplotlib, Plotly, or Grafana dashboards) for communicating insights to technical and non-technical stakeholders
• Scientific rigor - experience with statistical analysis, and evidence-based decision making

Nice to Have

• Experience with Elasticsearch, Neo4j, or graph-based knowledge systems
• Familiarity with FastAPI, Docker, and microservice architectures
• Experience with LangChain/LangGraph or LLM orchestration frameworks
• Background in NLP, document processing, or semantic search
• Proficiency in Chinese (Mandarin) for collaboration with Growatt's global R&D teams