Senior Software Engineer, AI Intelligence Platform

aura798; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

aura798 in the United States seeks a senior software engineer to architect and build core services for an AI platform that securely handles sensitive data. You will shape system design, guide implementation, and own production operations across distributed components.

You will mentor engineers, define security and privacy practices, and select scalable technologies. Experience shipping large distributed systems and clear communication with cross-functional teams are essential.

Qualifications

• 5+ years of software engineering experience with distributed systems.
• Experience owning complex systems from architecture to production.
• Strong fundamentals in design, algorithms, data structures, and distributed systems.
• Cloud architecture judgment across compute, databases, queues, caches, and data pipelines.
• Experience building systems that handle sensitive or regulated data securely.
• Clear communication across technical and non-technical teams; degree or equivalent experience.

Responsibilities

• Design and document scalable platform components, and guide their technical direction.
• Lead complex projects from early requirements through launch and ongoing improvement.
• Build trusted data foundations and services that turn analysis into relevant user insights.
• Define how AI agents access sensitive information, using controls such as least privilege and isolation.
• Choose technologies with attention to scale, cost, and operational simplicity.
• Set engineering practices for security, privacy, observability, and testing; mentor engineers on design and reliability.

Skills

Distributed systems

Architecture design

Cloud services

Mentoring engineers

Security and privacy

Effective communication

Education

Bachelor's degree or equivalent

Tools

AWS

Infrastructure as Code (Terraform)

Job description

Role overview

Build core services for an AI intelligence platform that brings together sensitive data and makes it usable for AI systems. The work spans architecture, implementation, and production operation, with a focus on generating useful insights while preserving strong security and privacy boundaries.

Responsibilities

• Design and document scalable, reliable platform components, and guide their technical direction.
• Lead complex projects from early requirements through launch and ongoing improvement.
• Build trusted data foundations and services that turn analysis into relevant user insights.
• Define how AI agents access sensitive information, using controls such as least privilege and isolation.
• Choose technologies with attention to scale, cost, and operational simplicity.
• Set engineering practices for security, privacy, observability, and testing; mentor engineers on design and reliability.

Requirements

• Roughly 5 or more years of software engineering experience, including shipping large distributed systems.
• Experience owning complex systems from architecture through production operations.
• Strong grounding in software design, algorithms, data structures, and distributed systems.
• Cloud architecture judgment across compute, databases, queues, caches, and data pipelines.
• Experience designing systems that handle sensitive or regulated data with security and privacy built in.
• Clear communication across technical and non-technical teams; a relevant degree or equivalent experience.

Nice to have

• Production experience with AI or LLM systems, such as agents, retrieval, evaluation, or observability.
• Background in security, privacy engineering, trust and safety, or large-scale data platforms.
• AWS and infrastructure-as-code experience.