Medellin, Colombia | Posted on 07/17/2026 - Lead the design, development, and implementation of end-to-end, scalable AI solutions.

- Build, train, and optimize Machine Learning and Deep Learning models.
- Continuously improve model performance, accuracy, and operational cost efficiency.

Full Stack

Engineering - Develop and integrate backend and frontend components for AI-powered applications.

- Design scalable, secure, and high-performance software architectures.
- Ensure code quality through testing, code reviews, and software development best practices. Data Science & Predictive Modeling - Analyze large datasets to identify patterns and develop predictive models.
- Implement data preparation, cleansing, and transformation pipelines.
- Develop advanced analytics solutions to solve complex business challenges.
- Build and deploy AI solutions using Machine Learning services on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
- Integrate AI models into scalable cloud infrastructures.
- Optimize model deployment, monitoring, maintenance, and lifecycle management in production environments. Innovation & Technical Leadership - Provide technical leadership for strategic Artificial Intelligence initiatives.




- Mentor and guide engineers across the team, promoting technical excellence and best practices.
- Research emerging AI technologies, tools, and industry trends to drive continuous innovation. Documentation & Communication - Document system architectures, technical processes, and design decisions.
- Communicate project progress, technical findings, and business impact effectively to both technical teams and business stakeholders.

Requirements - 6-7 years of professional experience as a Full Stack Engineer.

- Advanced proficiency in Python.
- Strong experience with Java or Scala.
- Extensive experience designing and developing Artificial Intelligence solutions.
- Hands-on expertise with Machine Learning frameworks, including:
- TensorFlow - PyTorch - Experience using.
- Experience working with cloud platforms, including:
- Amazon Web Services (AWS) - Knowledge of cloud-based Machine Learning services.
- Proven experience building advanced predictive models.
- Strong understanding of:
- Software architecture - Data structures - Algorithms

📌 1772 Fullstack IA Engineer Senior (Colombia)
🏢 softgic
📍 Colombia