Artificial Intelligence Engineer

About the Role

We are seeking a skilled Artificial Intelligence Engineer focused on ensuring the safety and responsibility of Large Language Models (LLMs). The successful candidate will conduct thorough safety assessments, develop security mechanisms, and contribute to deploying trustworthy AI applications.

Primary Responsibilities

• Perform comprehensive safety evaluations on LLMs to detect risks such as jailbreaking and prompt injection vulnerabilities.
• Create and implement protective safety frameworks using open-source technologies.
• Build, deploy, and fine-tune LLM-driven applications prioritizing safety and alignment.
• Design and optimize backend services and APIs in Python to enhance machine learning performance.
• Work collaboratively with AI product teams and technical stakeholders to embed safety testing and guardrails in AI solutions.
• Champion responsible AI through experimentation, shared learning, and collaborative technical efforts.

Requirements

• Proficient in Python backend programming, especially API development and performance tuning in ML contexts.
• Experience deploying applications on cloud platforms, ideally AWS.
• Sound knowledge of LLMs, prompt engineering techniques, and AI application development involving LLMs.
• Demonstrated enthusiasm for AI safety and ethical AI deployment, accompanied by a willingness to engage in continuous learning and experimentation.
• Preferred experience in testing LLM safety, building guardrails (e.g., NeMo, LLM Guard), or building efficient LLM applications.