Agent is looking for an AI Engineer to design, build, and maintain intelligent, scalable AI systems that enhance product functionality and user experience. As a neuroscience-based technology company dedicated to transforming health behavior change, we build on a philosophy of practice and iteration.
What You'll Do
- Build, train, and validate machine learning models (classification, forecasting, recommendation systems) using real-world datasets.
- Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, versioning, and scalability best practices.
- Rapidly prototype AI features and deploy production-ready solutions.
- Conduct hyperparameter tuning and optimize models for accuracy, latency, throughput, and resource efficiency.
- Work with product and engineering teams to translate business needs into practical, high-impact AI solutions.
- Document methodologies and communicate results.
- Ensure fairness, interpretability, and regulatory compliance. Implement monitoring to detect model drift, bias, and performance degradation.
What We're Looking For
- Bachelor’s degree in Computer Science, AI, Data Science, or related field.
- 2–4 years in machine learning, AI, or similar engineering roles, with hands-on experience deploying models into production.
- Prior experience in startups or 0-to-1 product environments.
- Knowledge of NLP, generative AI, and LLMs (e.g., LangChain).
- Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Spark, etc.
- Strong data engineering skills: ETL pipelines, SQL/NoSQL, data preprocessing.
- Strong analytical and communication abilities, teamwork, adaptability, and attention to detail.
Nice to Have
- Master’s degree in Computer Science, AI, Data Science, or related field.
- Industry certifications (e.g., Azure AI Engineer, Google ML Engineer).
- Experience in healthcare or wellness domains.
- Experience working with personalization models/engines.
- Background in small teams or early-stage organizations.
Technical Stack
- TensorFlow
- PyTorch
- scikit-learn
- Spark
- LangChain
- SQL
- NoSQL
Benefits & Compensation
- Compensation: $120K to $150K
Work Mode
This is a remote position open to candidates located in Mexico or Canada.
Agent is an equal opportunity employer.




