Senior AI Engineer
Schneider ElectricResponsibilities
- Build AI Agent systems using LangChain, LangGraph, AutoGen, deer-flow, and related frameworks.
- Develop industrial LLM applications for energy forecasting, equipment fault diagnosis, and photovoltaic-storage-charging coordination.
- Perform model fine-tuning using SFT, RLHF, DPO, and LoRA, and support private model deployment.
- Build industry knowledge graphs and vector databases and optimize RAG strategies for industrial documents and unstructured data.
- Integrate AI Agents with EMS, SCADA, HMI, and industrial protocols including Modbus, OPC UA, IEC104, and MQTT.
- Manage the lifecycle of AI models and Agent services, including data governance, training, inference acceleration, containerized deployment, monitoring, and evaluation.
- Develop high-concurrency AI services and address industrial real-time performance, reliability, and safety requirements.
Requirements
- Bachelor’s degree or higher in computer science, artificial intelligence, automation, control engineering, electrical engineering, or a related field.
- At least 3 years of AI algorithm or architecture research and development experience.
- Strong understanding of AI Agent principles such as ReAct, PlanAct, and CodeAct, plus practical experience with prompt engineering and function calling.
- Practical development experience with LangChain, LangGraph, or LlamaIndex.
- Advanced Python skills and experience with PyTorch or TensorFlow.
- Experience with open-source models such as LLaMA, Qwen, or ChatGLM and with production-oriented RAG engineering.
- Knowledge of at least one domain such as power distribution, microgrids, energy storage, industrial IoT, or industrial control systems.
- Familiarity with Linux and Docker/Kubernetes cloud-native technologies.
- Experience with inference optimization using technologies such as vLLM or TensorRT-LLM and high-concurrency service development with FastAPI or gRPC is preferred.
- Experience with time-series modeling, anomaly detection, predictive maintenance, end-to-end LLM or AI Agent delivery, open-source contributions, distributed training with DeepSpeed or Megatron-LM, or publications at NeurIPS or ICLR is preferred.
Benefits
- Opportunity to work on high-impact AI projects and help shape organizational strategy.
- Collaboration with talented engineers and data professionals in a team-oriented culture.
- Ongoing learning, certification, and career development opportunities.
- Flexible work options intended to support personal and professional success.
- Comprehensive rewards and benefits supporting performance, growth, security, family needs, skill development, inclusion, and community contribution; programs may vary by country or region.
- Equal employment opportunity and an inclusive workplace commitment.
Categories
About Schneider Electric
Schneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems—enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and one million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies. www.se.com Follow us on: https://www.facebook.com/SchneiderElectric https://www.x.com/SchneiderElec https://www.x.com/SE_Careers https://www.instagram.com/schneiderelectric https://www.youtube.com/schneiderelectric https://www.tiktok.com/@schneiderelectric_global