Applied Researcher - Sovereign AI, Remote/Flexible

Prime Intellect AI; San Francisco (CA); Remote; USD 150,000 - 300,000; Full time

Benefits offered by this job

Equity incentives

Visa sponsorship & relocation support

Professional development budget

Team off-sites & conference attendance

Job summary

Prime Intellect AI is building open frontier AI with a focus on post-training and agent systems for regulated sectors. As an Applied Research Engineer, you will design and evaluate end-to-end improvement loops inside operator boundaries, develop tool-using domain agents, and ensure compliance with data, access, and human oversight constraints.

You will collaborate with researchers and customers, publish findings, and contribute to open-source components and production capabilities, while

Qualifications

• Experience in RL/post-training and private ML systems.
• Experience with high-assurance evaluation and agent safety.
• Deployment in regulated-domain ML or environments with strict data controls.
• Ability to build and evaluate end-to-end agent systems and interventions.
• Strong Python and ability to produce reusable artifacts for researchers/engineers.

Responsibilities

• Own improvement loops end-to-end inside operator boundaries.
• Develop agents with permissions, evidence trails, bounded tools, and human checkpoints.
• Create evaluations for reliability, calibration, and compliance with domain procedures.
• Experiment with privacy, access, and infrastructure constraints and transferable methods.

Skills

RL/post-training

private ML systems

high-assurance evaluation

agent safety

regulated-domain ML

public-sector technical work

deployment under strict data

Python

Tools

Python

Job description

Prime Intellect AI is building open frontier AI with a focus on post-training and agent systems for regulated sectors. As an Applied Research Engineer, you will design and evaluate end-to-end improvement loops inside operator boundaries, develop tool-using domain agents, and ensure compliance with data, access, and human oversight constraints.

You will collaborate with researchers and customers, publish findings, and contribute to open-source components and production capabilities, while