Backend Engineer for AI Data Platform & LLM Orchestration

Axiamatic; Menlo Park (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Axiamatic in Menlo Park, CA, is seeking an experienced backend engineer to shape the architecture and engineering practices for our agent-orchestration layer on frontier LLMs. You will turn heterogeneous program data into structured, queryable knowledge that agents can reason over and build reliable services across workloads.

You will own backend features end to end, collaborate with product management and customers, review code, write tests, and drive production quality in a fast-moving startup

Qualifications

• BS, MS, or PhD in Computer Science or a related field.
• 2–4 years building backend systems in production, ideally AI-powered or data-intensive.
• Strong Python and backend fundamentals: API design, concurrency, distributed services, testing, and production debugging.
• Experience shipping an LLM-powered feature to production with ownership.
• Experience with cloud services, AWS preferred.
• Comfortable in a fast-moving startup environment.

Responsibilities

• Shape architecture and engineering practices for the agent-orchestration layer on frontier LLMs.
• Turn heterogeneous program data into structured knowledge that agents can reason over.
• Build reliable, observable, and cost-efficient backend services across workloads.
• Own backend features end to end from design through deployment and operation.
• Collaborate with product management and customers to decide what to build.
• Review code and write tests for production quality.

Skills

Python

API design

Backend development

Cloud infrastructure

LLM integration

Education

BS/MS/PhD in Computer Science or related field

Tools

Java

AWS

Docker

Job description

Axiamatic in Menlo Park, CA, is seeking an experienced backend engineer to shape the architecture and engineering practices for our agent-orchestration layer on frontier LLMs. You will turn heterogeneous program data into structured, queryable knowledge that agents can reason over and build reliable services across workloads.

You will own backend features end to end, collaborate with product management and customers, review code, write tests, and drive production quality in a fast-moving startup