Senior AI Agent Developer

Role Description

We are looking for a hands-on Senior AI Agent Developer to build, deploy, and maintain ML/AI solutions in production, bringing strong end-to-end experience from model development through deployment, monitoring, and scaling.

• Design, build, and optimize ML/AI models and pipelines
• Deploy models to production, ensuring scalability, reliability, and performance
• Build and maintain MLOps workflows, including CI/CD, model monitoring, and retraining
• Work with large-scale data to engineer features and prepare training datasets
• Collaborate with data engineers, product, and business teams to deliver solutions
• Communicate effectively with stakeholders, sharing progress, insights, and outcomes clearly
• Contribute to a collaborative and supportive team culture as a strong team player
• Troubleshoot and continuously improve models running in production
• Follow best practices for code quality, documentation, and responsible AI

Qualifications

• 3+ years of experience building and deploying ML/AI solutions in production environments
• Expertise in AWS and Databricks for building and scaling ML/AI pipelines
• Proficiency in MLOps practices, including CI/CD, model monitoring, and retraining workflows
• Skills in feature engineering and preparing training datasets from large-scale data
• Background in collaborating with cross-functional teams, including data engineers, product, and business stakeholders
• Competency in clear stakeholder communication, sharing progress, insights, and outcomes
• Understanding of best practices for code quality, documentation, and responsible AI
• English proficiency at B2 level or higher

Requirements

• 3+ years of experience building and deploying ML/AI solutions in production environments
• Expertise in AWS and Databricks for building and scaling ML/AI pipelines
• Proficiency in MLOps practices, including CI/CD, model monitoring, and retraining workflows
• Skills in feature engineering and preparing training datasets from large-scale data
• Background in collaborating with cross-functional teams, including data engineers, product, and business stakeholders
• Competency in clear stakeholder communication, sharing progress, insights, and outcomes
• Understanding of best practices for code quality, documentation, and responsible AI
• English proficiency at B2 level or higher