AI Engineer

Role Overview

We are seeking a highly skilled and innovative AI Engineer with expertise in both traditional Artificial Intelligence and emerging Generative AI technologies. In this role, you will be responsible for designing, developing, and deploying intelligent systems that leverage machine learning, deep learning, and generative models to solve complex problems. You will work across the AI lifecycle—from data engineering and model development to deployment and monitoring—while also exploring GenAI applications, Agentic AI and developing agentic platforms.

Responsibilities

• Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models).
• Design and implement machine learning models for classification, regression, clustering, and recommendation tasks.
• Build and maintain scalable AI pipelines for data ingestion, training, evaluation, and deployment.
• Collaborate with cross-functional teams to understand business needs and translate them into AI solutions.
• Ensure model performance, fairness, and explainability through rigorous testing and validation.
• Deploy models to production using MLOps tools and monitor their performance over time.
• Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems.
• Document models, experiments, and workflows for reproducibility and knowledge sharing.

Requirements

• Bachelor’s degree in engineering with minimum four years of experience in relevant technologies.
• 3 - 5 yrs exp.

Skills

• Python
• AWS
• Amazon SageMaker
• Amazon Bedrock
• LangChain