Agentic AI Engineer
Aviso de fuente externaen Pernix Solutions
Pernix Solutions seeks a part-time Agentic AI Engineer to design and implement agentic AI systems and collaborate on models, prototypes, and experiments.
Salario
No especificado
Ubicación
San José, Costa Rica
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Agentic AI Engineer
San José, Costa Rica
Descripción del empleo
About the role
Pernix Solutions develops software using Agile methodologies and modern engineering practices that foster a professional community focused on continuous improvement, collaboration, and craftsmanship.
This part-time Agentic AI Engineer role involves designing and implementing agentic AI systems that integrate neural networks and NLP models into software solutions. These systems can autonomously analyze data, make decisions, and interact with users or other systems.
Responsibilities
- Collaborate with cross-functional teams to define requirements, build prototypes, run experiments, and iterate on models and architectures.
- Code and test AI components, perform pattern recognition and model evaluation, and document technical designs.
- Participate in Agile ceremonies such as stand-ups, sprint planning, and retrospectives.
- Help ensure AI features are robust, maintainable, and aligned with product and business goals.
Requirements
- Strong foundation in Computer Science, including algorithms, data structures, and software development principles.
- Hands-on experience with neural networks and pattern recognition, including model training, evaluation, and optimization.
- Practical knowledge of Natural Language Processing (NLP), such as text classification, information extraction, or conversational agents.
- Proficiency in one or more programming languages commonly used in AI, such as Python, Java, or similar, and familiarity with frameworks such as PyTorch or TensorFlow.
- Ability to work effectively in an Agile environment.
Datos clave
- This is a part-time role.
- The role involves designing and implementing agentic AI systems.
- Requirements include knowledge of neural networks, pattern recognition, and NLP.
Preguntas frecuentes
What does the Agentic AI Engineer role involve?
The role involves designing and implementing agentic AI systems that integrate neural networks and NLP models into software solutions.
What qualifications are required?
The listing asks for a strong foundation in Computer Science, hands-on experience with neural networks and pattern recognition, and practical knowledge of NLP.
What programming languages and frameworks are mentioned?
The listing mentions Python, Java, or similar programming languages, and frameworks such as PyTorch and TensorFlow.