Backend Engineer

Auric AI is building a battlefield AI vision platform that converts satellite imagery into actionable intelligence. We need backend engineers who think from first principles, move fast, and can design systems that elegantly handle both complexity and scale.

This role is for someone who enjoys solving hard problems at the intersection of distributed systems, real-time image processing, and AI deployment — regardless of years of experience.

What You’ll Build

High-throughput image ingestion pipelines (10,000+ images/day)

Automated tiling, preprocessing, and transformation systems

Model inference services connected to our CV research stack

Quality control and validation workflows

Scalable data stores for imagery, detections, and metadata

Secure access-controlled dissemination to thousands of users

Edge-friendly intelligence delivery over low-bandwidth networks

What Matters Most

Ability to break down complex system problems into simple, logical components

Strong reasoning and clarity of thought

Pragmatic engineering instincts — knowing what to build now vs later

Comfort working with ambiguity and 0→1 product building

Curiosity and willingness to dive deep into unfamiliar areas

Skills & Qualities

1+ years of hands-on engineering experience, with good exposure to building or working with ML or AI systems in production.

Strong in at least one backend language (Python, Go, Node, Java)

Ability to design and implement distributed services

Good understanding of data storage, queues, caching, API design

Ability to optimize systems for throughput, reliability, and latency

Experience building things outside of work (projects, systems, tools)

Comfort with cloud infra (AWS/GCP/Azure) and containers (Docker/K8s)

Years of experience are irrelevant to us — depth of thinking and engineering ability matter far more.