Staff Backend Engineer – AI Infrastructure, Scale

Axiomatic_AI; Boston (KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Opportunity to work on cutting-edge technology

Collaborative global team environment

Focus on diversity and inclusivity in the workplace

Job summary

Axiomatic_AI is looking for a Staff Software Engineer to set the technical direction for our backend platform in Boston, US. In this role, you'll primarily develop backend code while guiding architecture and strategies crucial for scaling our AI-native products.

Join us to impact the future of hardware design and contribute to groundbreaking research with industry experts. The position allows for a hybrid work model, bridging innovative technology with scientific applications.

Qualifications

• 10+ years of backend development experience, with 2+ in a staff/principal/lead role.
• Documented technical leadership through RFCs and architecture.
• Deep expertise in Python and distributed systems.
• Experience with production-grade databases and GCP.

Responsibilities

• Write and ship backend code daily as hands-on engineer.
• Own technical strategy for backend systems.
• Lead cross-functional initiatives and mentorship.
• Design and optimize foundational platforms for AI.

Skills

Backend development experience

Technical leadership

Deep Python expertise

Distributed systems intuition

Production-grade Databases

Cloud platform mastery

Basic familiarity with LLM API

Incident response

Excellent technical communication

Education

10+ years in backend development

2+ years in a staff/principal role

Tools

Python

FastAPI

SQLAlchemy

PostgreSQL

Google Cloud Platform

Job description

Axiomatic_AI is looking for a Staff Software Engineer to set the technical direction for our backend platform in Boston, US. In this role, you'll primarily develop backend code while guiding architecture and strategies crucial for scaling our AI-native products.

Join us to impact the future of hardware design and contribute to groundbreaking research with industry experts. The position allows for a hybrid work model, bridging innovative technology with scientific applications.