Real-Time AI Platform Backend Engineer

Sight Machine, Inc.; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Sight Machine, Inc. is hiring a Platform Backend Engineer to develop and maintain the core systems that ingest, model, and serve industrial data. You will build production-grade code that processes live sensor streams, powering real-time AI insights for manufacturing operations.

The role emphasizes shipping robust backend services, scalable ETL pipelines, and close collaboration with client-facing engineers to translate real-world constraints into the platform.

Qualifications

• 2+ years of professional software engineering experience.
• Python as your primary language and knowledge of at least one other high-level language.
• Strong foundations in data structures and algorithms.
• Experience with relational and NoSQL databases (MongoDB and PostgreSQL preferred).
• Comfort with Unix/Linux environments.
• You’ve shipped code in a system you didn’t build and can navigate a mature codebase.

Responsibilities

• Build and maintain backend services that power real-time dashboards and AI model outputs.
• Ingest, model, and serve streaming sensor data at industrial scale.
• Design and optimize ETL pipelines for high-volume, low-latency data.
• Contribute to automation and alerting layers using AI tools.
• Collaborate with engineers embedded at client sites to translate real-world constraints into the platform.

Skills

Python

Distributed systems

Data structures & algorithms

Unix/Linux

Communication

Relational databases

NoSQL databases

Open source

Team collaboration

Tools

MongoDB

PostgreSQL

Job description

Sight Machine, Inc. is hiring a Platform Backend Engineer to develop and maintain the core systems that ingest, model, and serve industrial data. You will build production-grade code that processes live sensor streams, powering real-time AI insights for manufacturing operations.

The role emphasizes shipping robust backend services, scalable ETL pipelines, and close collaboration with client-facing engineers to translate real-world constraints into the platform.