Remote Senior GenAI Engineer: LLMs, RAG & AI Ops

ChargePoint; United States; Remote; USD 37,000 - 63,000; Full time

Job summary

ChargePoint is seeking a Senior GenAI Engineer to architect and build LLM-based applications, copilots, and AI agents. You will design grounded AI systems, optimize RAG architectures, and lead agentic workflows with multi-step reasoning.

You will own backend services, drive GenAIOps practices, and mentor engineers while shaping AI strategy with product and security teams. The role requires 6+ years in software, strong Python, LLM, and distributed systems experience, plus cloud, Docker,

Qualifications

• 6+ years of professional software engineering experience.
• Strong development skills in Python; experience with Java, FastAPI, Django, and modern backend frameworks for AI service development.
• Extensive hands-on experience with LLMs and generative AI systems.
• Strong experience with RAG, embeddings, Elasticsearch including vector and hybrid search, and prompt engineering.
• Experience building Copilot-style, conversational, and agent-based AI systems.
• Strong understanding of distributed systems, APIs, microservices architecture, and event-driven patterns.
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Familiarity with LLMOps and MLOps practices.

Responsibilities

• 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.
• Apply and advocate for Responsible AI and security-by-design.
• Mentor engineers and influence AI engineering best practices.
• Partner with product, platform, and security teams to shape AI strategy.

Skills

Python

FastAPI

Django

LLM engineering

Elasticsearch

Vector search

LangChain

LangGraph

Bedrock/OpenAI APIs

Pinecone

Qdrant

ChromaDB

Docker

Kubernetes

CI/CD

Tools

LangChain

LangGraph

Amazon Bedrock/OpenAI APIs

Elasticsearch

Qdrant

ChromaDB

Pinecone

Docker

Kubernetes

Job description

ChargePoint is seeking a Senior GenAI Engineer to architect and build LLM-based applications, copilots, and AI agents. You will design grounded AI systems, optimize RAG architectures, and lead agentic workflows with multi-step reasoning.

You will own backend services, drive GenAIOps practices, and mentor engineers while shaping AI strategy with product and security teams. The role requires 6+ years in software, strong Python, LLM, and distributed systems experience, plus cloud, Docker,