Description

Architect and build AI-driven systems and pipelines for production applications.

This role is hybrid.

Responsibilities

• Architect and implement multi-component AI pipelines, RAG systems, and custom AI agents.
• Integrate AI models into production software using scalable APIs and data pipelines.
• Contribute to MLOps and LLMOps practices in both design and implementation.
• Ensure AI model performance through comprehensive testing and monitoring frameworks.

Required Skills

• 7+ years in software engineering.
• 2+ years focused on AI/ML.
• Proficiency in Python.
• Experience with PyTorch and TensorFlow.
• Strong understanding of machine learning principles, evaluation, and system design.
• Knowledge of MLOps and the end-to-end lifecycle of AI-powered software.
• Experience integrating AI models into production systems via APIs and data pipelines.
• Experience with cloud platforms including AWS, Azure, and GCP.
• Familiarity with Docker and Kubernetes.

Key Skills

Education

Any Graduate