Member of Technical Staff

Aerdos, Inc.; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Aerdos Inc. in San Francisco is hiring a Member of Technical Staff to build the data infrastructure and graph-based analysis that powers our intelligence workflows.

You will develop systems ingesting and linking messy real-world information, create graph-backed processes to uncover entities and hidden networks, and build internal AI tools to automate analysis and reporting.

Qualifications

• 3+ years of software engineering experience.
• Experience with data systems, data infrastructure, or analytical platforms.
• Good instincts for using LLMs to automate real work.

Responsibilities

• Build data systems to ingest, clean, link, and analyze real-world information.
• Develop graph-backed workflows to find entities, relationships, and hidden networks.
• Build internal AI tools to automate parts of intelligence collection, analysis, and reporting.

Skills

Software engineering

Data systems

LLMs

Graph workflows

Python

Tools

PostgreSQL

AWS

LLM tooling

Job description

Aerdos provides U.S. Government agencies with finished intelligence for specific national security problems.

We are hiring a Member of Technical Staff to build the systems behind that work: data infrastructure, graph-based analysis, and internal AI tools that help intelligence teams find hidden networks and produce analyst-ready answers.

What you'll do

• Build data systems that ingest, clean, link, and analyze messy real-world information
• Develop graph-backed workflows for finding entities, relationships, and hidden networks
• Build internal AI tools that automate parts of intelligence collection, analysis, and reporting

Today we use Python, Postgres, AWS, and a lot of AI tools. You should be excited to shape the technical foundation rather than inherit a mature system.

What we're looking for

• 3+ years of software engineering experience
• Experience with data systems, data infrastructure, or analytical platforms
• Good instincts for using LLMs to automate real work

Requirements

• Able to work in person from our San Francisco office