Website:
kelhe.com
Job details:
Company Description Kelhe is focused on making enterprise AI agents safe and reliable by providing an independent enforcement checkpoint for every tool call outside the AI model. The platform evaluates and scores the risk of each action in real time, returning an immediate decision to allow, hold for human approval, or block. Organizations can deploy Kelhe with a single line of code in a risk-free observe mode, enabling them to build a defensible audit trail before enforcing runtime governance. By reducing operational risk, Kelhe helps teams scale autonomous workflows with greater confidence and control.
Role Description As an Artificial Intelligence Intern at Kelhe, you will support the design, development, and evaluation of AI-driven risk assessment and enforcement mechanisms. You will assist in building and testing models that analyze tool calls, contribute to data pipelines, and help improve algorithms that score and classify actions in real time. Day-to-day tasks will include implementing and reviewing code, running experiments, documenting findings, and collaborating with engineering and product team members to refine features and workflows. This is a full-time remote role, offering the opportunity to work closely with experienced professionals on production-grade AI safety and governance solutions.
Qualifications
- Strong foundation in Computer Science and Programming skills relevant to AI and software development.
- Analytical Skills and Data Science capabilities to work with datasets, derive insights, and evaluate model performance.
- Knowledge of Machine Learning concepts, algorithms, and model evaluation techniques.
- Ability to learn quickly, work independently in a remote environment, and collaborate effectively within a distributed team.
- Familiarity with Python or similar languages, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
- Interest in AI safety, security, and governance for enterprise applications.
Click on Apply to know more.