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# Full-Stack Software Engineer, Intelligence & Investigations

- **Company:** OpenAI Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Python (Programming Language), Rapid Prototyping Process, OpenAI, Software Engineering, SQL Databases, Unstructured Data, Build Tools
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/full-stack-software-engineer-intelligence-investigations-san-francisco-ca--662a8f65-051d-4ea8-b764-73336022128f

## About the Role

Software Engineering, Artificial Intelligence (AI), Risk Management, Leadership, Prototyping, Product Development, Needs Assessment, Rapid Prototyping, Analysis Skills, Production Systems, * 4+ years of experience as a software engineer

 * Experience designing, building, and operating production software, ideally for intelligence, investigations, security, research, or other complex analytical workflows.
 * A track record of owning products or systems end to end and translating ambiguous, high-stakes problems into useful tools.
 * Strong programming and data skills, including experience working with Python, SQL, and large or unstructured datasets.
 * Sound product and technical judgment, with the ability to partner closely with expert users and work effectively across functions.
 * Excitement about using increasingly capable AI systems to expand human situational awareness and accelerate expert investigation.

## Description

As an engineer on Intelligence & Investigations Engineering, you will build the systems that support both sides of this mission: giving OpenAI's leadership superhuman situational awareness of important risks and developments, and accelerating expert investigators and analysts as they assess potential high-severity misuse or harm.

You will design, prototype, ship, and maintain end-to-end products that use OpenAI's models and infrastructure to make sense of large, complex information environments. These systems will surface meaningful signals, synthesize important developments, and help people make well-informed decisions when the stakes are high.

You will work directly with analysts, investigators, and other subject matter experts to understand their needs and build products that make their work faster, more effective, and more scalable. Your engineering work will be central to how the team investigates potential misuse, develops situational awareness, and informs decisions.

We're looking for engineers who combine strong technical and analytical skills with product judgment and the ability to move between rapid prototyping and reliable production systems. You should be comfortable working with ambiguous problems, complex data, and evolving AI capabilities-and excited to build tools that expand what human experts can understand and accomplish.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

 * 7+ years of experience as a software engineer
 * Build intelligence systems that monitor and characterize emerging risks, synthesize internal and external signals, and give OpenAI leadership a timely, decision-ready view of what matters
 * Develop investigative tools that help analysts, investigators, and subject matter experts assess potential high-severity misuse or harm with greater speed, depth, and consistency
 * Own technical solutions end to end, from identifying user needs and prototyping new capabilities to deploying, maintaining, and improving production systems
 * Apply OpenAI's models to research and investigative workflows, including lead generation, triage, synthesis, and analysis across large, complex datasets
 * Design effective interfaces and workflows that help expert users explore evidence, follow leads, and make well-informed decisions
 * Shape the team's technical and product direction as model capabilities, risk landscapes, and investigative needs evolve
 * Collaborate closely with analysts and investigators, as well as partners across Applied, Safety Systems, Research, User Operations, and Strategy