AI-Driven Backend Engineer for Scalable APIs

AXS; Charlotte (NC); On-site; USD 92,000 - 115,000; Full time

Job summary

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role focuses on integrating AI capabilities into production software, bridging traditional engineering with modern machine learning and LLM workflows.

You'll work on backend services, APIs, and data pipelines that power AI-driven features, collaborating with product and design to bring those capabilities to life. The position emphasizes scalable, reliable systems and performance.

Qualifications

• Strong programming experience in Python, JavaScript/TypeScript, PHP, or Go.
• Experience building and maintaining backend systems and APIs.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Experience with SQL and/or NoSQL databases.
• Understanding of software design principles and system architecture.
• Familiarity with integrating AI APIs such as OpenAI or Anthropic.
• Basic understanding of prompt engineering, embeddings, and model evaluation.

Responsibilities

• Design, build, and maintain scalable backend systems and APIs.
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.).
• Develop and optimize data pipelines for AI workflows.
• Implement retrieval-augmented generation (RAG) and context-aware systems.
• Evaluate and integrate third‑party AI tools and services.
• Improve system performance, reliability, and cost efficiency.
• Write clean, maintainable, and well‑tested code.
• Collaborate with cross-functional teams to ship AI-powered features.
• Contribute to architecture decisions and technical direction.

Skills

Python

JavaScript/TypeScript

PHP

Go

APIs

Backend systems

AWS

GCP

Azure

SQL

NoSQL

AI APIs

Prompt engineering

Embeddings

Vector search

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Pinecone

Weaviate

Job description

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role focuses on integrating AI capabilities into production software, bridging traditional engineering with modern machine learning and LLM workflows.

You'll work on backend services, APIs, and data pipelines that power AI-driven features, collaborating with product and design to bring those capabilities to life. The position emphasizes scalable, reliable systems and performance.