Senior AI Systems Engineer: Scalable Backend & LLMs

Aircall; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary package

Work-life balance

Job summary

Aircall is seeking an experienced backend engineer to develop scalable AI applications and infrastructure. You will focus on agent context, memory, and MCP while collaborating with cross-functional teams to translate requirements into robust systems.

Ideal candidates have 8+ years in backend development, strong security and scalability focus, and hands-on experience with LLMs and AI frameworks like Langchain and AWS production environments.

Qualifications

• 8+ years of backend experience in Python, Node.js or Java with a focus on security and scalability.
• Proficiency with LLMs and AI frameworks like Langchain, plus AWS production environments.

Responsibilities

• Develop scalable AI applications and infrastructure, focusing on agent context, memory, and MCP.
• Collaborate with cross-functional engineering and product teams to analyze requirements and design robust systems.

Skills

Python

Typescript

Node.js

Java

Large Language Models

Prompting

Langchain

LlamaIndex

Auto Gen

RAG

Reranking

AWS

Backend Development

System Design

Security

Scalability

Job description

Aircall is seeking an experienced backend engineer to develop scalable AI applications and infrastructure. You will focus on agent context, memory, and MCP while collaborating with cross-functional teams to translate requirements into robust systems.

Ideal candidates have 8+ years in backend development, strong security and scalability focus, and hands-on experience with LLMs and AI frameworks like Langchain and AWS production environments.