Jobgether
Senior Software Engineer, AI Benchmarking
US · Senior
Sponsorship not specifiedDetected 1 day ago
PythonReactAWSCloud PlatformsDockerTerraformLLMsComplianceResearch
About the role
- Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
- The final decision and next steps (interviews, assessments) are managed by their internal team.
- We appreciate your interest and wish you the best!
Requirements
- The ideal candidate is an experienced software engineer with a strong interest in AI systems, evaluation methodologies, and technology safety.
- 5+ years of professional software engineering experience or significant open-source contribution experience.
- Strong proficiency in Python and experience developing production-quality software.
- Experience with Docker and cloud platforms, particularly AWS services such as ECS.
- Strong understanding of software engineering best practices, including code quality, readability, testing, and maintainability.
- Ability to work autonomously, prioritize effectively, and contribute within a small, rapidly evolving team.
- Experience designing or running AI evaluations, agent systems, scoring frameworks, model assessments, red-teaming, or safety research.
- Experience with infrastructure-as-code tools such as Terraform, OpenTofu, or AWS CDK.
- Familiarity with AI evaluation frameworks, LLM APIs, or agent development tools.
- Experience working with technologies such as Inspect AI, OpenAI-compatible APIs, Anthropic APIs, Together APIs, Codex, or Claude Code.
Skills
- The position combines software engineering excellence with applied AI research in a mission-driven environment.
Compensation
- Competitive compensation package based on experience and qualifications.
Benefits
- Opportunity to work on high-impact projects focused on improving the safety and reliability of advanced AI systems.
- Flexible and inclusive workplace culture that values diverse perspectives and backgrounds.
Company info
- We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
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This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.