Related skills
python kubernetes prompt engineering llms rag📋 Description
- Architect and build LLM-based applications such as copilots, chatbots, and AI agents
- Design and optimize RAG and grounded AI systems using enterprise data
- Lead development of agentic workflows with tool/function calling and multi-step reasoning
- Own backend services and APIs for AI inference and orchestration
- Drive LLMOps / GenAIOps practices (evaluation, monitoring, CI/CD, versioning)
- Optimize AI systems for quality, cost, latency, and reliability
🎯 Requirements
- 10+ years of professional software engineering experience
- Strong development skills in Python; Java, Go, or TypeScript is a plus
- Deep hands-on experience with LLMs and Generative AI
- Strong experience with RAG, embeddings, vector search, and prompt engineering
- Experience building Copilot-style or agent-based AI systems
- Experience deploying and operating systems using Docker/Kubernetes
🎁 Benefits
- Equal opportunity employer
- ChargePoint provides reasonable accommodations during the application process
- Applicants only - Recruiting agencies do not contact
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