AI Agent Engineer - AI Agents Lucidya

AI & Agent Development

• Design, develop, and optimize machine learning and deep learning models for AI agent use cases.
• Build intelligent systems capable of reasoning, prediction, automation, and decision support.
• Apply NLP, data analysis, and agentic workflows to solve complex CX and operational challenges.

Data & Model Engineering

• Manage, clean, and preprocess large datasets to extract meaningful features.
• Train, evaluate, and fine-tune machine learning models to meet performance and reliability standards.
• Continuously monitor and improve model accuracy, robustness, and efficiency.

Production & Scalability

• Deploy AI models into production environments with a focus on scalability, performance, and reliability.
• Collaborate on MLOps practices to support continuous integration, monitoring, and improvement.
• Ensure AI systems integrate smoothly with existing platforms and workflows.

Cross-Functional Collaboration

• Work closely with data scientists, software engineers, product managers, and domain experts.
• Translate business problems into effective AI solutions with measurable outcomes.
• Contribute to solution design for enterprise pilots and long-term deployments.

Governance & Quality

• Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations.
• Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders.
• Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable.