Senior full-stack engineer builds RAG/LLM systems, data pipelines, and optimization tools for AI-driven asset management in energy. Requires 5+ years experience with Python/Django/FastAPI, React/TypeScript, and production AI systems.
Salary not listed
Hybrid5+ YOEFullstack Engineering
About the role
Responsibilities
Build and improve production RAG and LLM-based systems
Design and maintain data pipelines that integrate enterprise data sources at scale
Develop full-stack product features end-to-end, from Python backend through React/TypeScript frontend
Work on optimization and scheduling problems with real operational constraints
Build evaluation frameworks that measure whether AI systems are actually improving
Requirements
5+ years of hands-on software engineering experience
Full-stack depth in Python (Django/FastAPI) and modern React/TypeScript
Production experience building RAG and LLM-based systems, not prototypes
Strong architectural judgment
Comfort with large-scale data processing and cloud infrastructure (GCP preferred)
Fluency with AI-assisted development tools
Nice To Haves
Experience with ERP systems, especially SAP (maintenance workflows, master data, integrations)
Operations research or constraint programming background
Data transformation and orchestration tools (dbt, Prefect, Airflow)
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