Remote Platform AI Reliability Engineer

Software Mind; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Educational resources

Flexible schedule

Work From Anywhere

Referral program

Supportive atmosphere

Job summary

Software Mind in the United States seeks a dedicated backend engineer focused on reliability for AI-driven industrial applications. You will work on a Python-based large-scale backend, ensuring trusted, data-grounded responses and robust performance in a multi-team setting across the US and Australia.

You will build and maintain evaluation harnesses, implement reliability checks, and accelerate safe model migrations while keeping latency acceptable.

Qualifications

• Shipped an LLM-based feature to production with measurable impact.
• Experienced debugging latency, concurrency, and failures in production systems.
• Treats prompts as engineering artifacts with regression testing.

Responsibilities

• Investigate agent misbehavior from real customer plants and diagnose fixes.
• Extend evaluation harnesses for prompt changes and model migrations.
• Add reliability mechanisms: assumption surfacing, grounding checks, and output quality reviews.
• Diagnose and resolve cross-cutting performance and concurrency issues.
• Raise code quality within review conventions.

Skills

Python

LLM features

Production debugging

Prompt engineering

Feature flags

Autonomy

English writing

Tools

Vertex AI

Cloud platforms

Job description

Software Mind in the United States seeks a dedicated backend engineer focused on reliability for AI-driven industrial applications. You will work on a Python-based large-scale backend, ensuring trusted, data-grounded responses and robust performance in a multi-team setting across the US and Australia.

You will build and maintain evaluation harnesses, implement reliability checks, and accelerate safe model migrations while keeping latency acceptable.