AI Engineer
Hybrid
Full Time
#Engineering
#Machine Learning
#Artificial Intelligence
#Model Fine Tuning
#Python
#Cloud
#Learning
#NLP
At AlertMedia, we are dedicated to a vital mission. We work to save lives and minimize loss by identifying global threats and enabling rapid communication when emergencies impact personal safety or business continuity. Our team supports thousands of organizations, including global leaders like JetBlue and Walmart, across more than 130 countries. We pride ourselves on being a collaborative, human-centric organization where simplicity is a strength and our reputation is paramount. We are currently looking for an innovative AI Engineer to join us in a full-time, hybrid capacity to help shape our AI strategy and integrate advanced machine learning models into our product suite.
Key outcomes
- Train and fine-tune supervised learning models, such as classification and embedding systems, for both internal tools and customer-facing features.
- Lead prompt engineering initiatives to optimize Large Language Model behavior for specific business use cases.
- Design and implement robust evaluation pipelines for both traditional machine learning models and LLMs.
- Build and maintain frameworks that support model benchmarking, performance tracking, and prompt iteration.
- Collaborate with our security team to ensure all AI deployments adhere to strict compliance standards.
- Assess and compare various commercial and open-source LLMs to determine their alignment, cost, and reliability for our platform.
- Monitor production models to ensure ongoing quality and performance.
Requirements
- Four to six years of professional experience in software engineering, data science, or applied AI.
- Strong proficiency in Python and essential machine learning libraries like PyTorch, TensorFlow, scikit-learn, and Hugging Face.
- Demonstrated expertise in prompt engineering, model fine-tuning, and evaluation methodologies.
- Solid understanding of LLMs and traditional machine learning fundamentals.
- Experience with cloud-based ML infrastructure and data workflows.
- Ability to communicate effectively and work cross-functionally in a fast-paced environment.
- Fluency in English.
Preferred qualifications
- A bachelor’s degree in computer science, computer engineering, or a related technical field.
- Proven experience successfully deploying supervised learning models into production environments.
Compensation
We offer a competitive base salary paired with a company-wide bonus program. Our comprehensive benefits package includes:
- Medical, dental, vision, and life insurance, with premiums 100% paid for employees.
- A 401k plan with a generous company match.
- Flexible paid time off and parental leave policies.
- Opportunities for remote and hybrid work.
- Access to ongoing career development through our dedicated learning teams.
How to apply
If you are passionate about using AI to make a meaningful impact, we would love to hear from you. We invite you to apply by sharing the work you are most proud of, as our interview process is designed to let your skills shine without the use of trick questions or whiteboard exercises. We look forward to learning more about your experience and how you can contribute to our mission.






