AI Engineer

Model Development & Implementation

• Develop and fine‑tune machine learning and generative AI models using established frameworks and best practices.
• Assist in implementing LLM‑based solutions under defined architectures and guidelines.
• Support model training, evaluation, and validation activities.

Prompt Engineering & LLM Usage

• Design and refine prompts for LLM‑based applications to improve output relevance and accuracy.
• Assist in testing and evaluating generated responses against defined quality metrics.
• Work with APIs and foundation models as per solution requirements.

Data Preparation & Handling

• Perform data preprocessing, transformation, and validation for structured and unstructured datasets.
• Ensure data quality and consistency during model development and testing phases.

Integration & Support

• Support integration of AI/ML models into applications and workflows in collaboration with software engineering teams.
• Assist in deploying models using existing CI/CD and MLOps pipelines.
• Participate in troubleshooting model or application issues.

Continuous Learning & Improvement

• Stay updated with advancements in machine learning and generative AI.
  • Contribute to knowledge sharing, documentation, and technical discussions within the team.