Senior AI Engineer - Traffic Label

Key Responsibilities

• Architect and develop end‑to‑end AI solutions using LLMs, retrieval‑augmented generation, and agentic patterns to automate multi‑step business processes.
• Collaborate with data, product, and engineering teams to integrate AI models into scalable production pipelines.
• Design data ingestion, feature engineering, and model monitoring workflows that support real‑time decision support.
• Optimize model performance and cost efficiency on cloud platforms, ensuring robust deployment and continuous improvement.
• Document best practices, model governance, and compliance requirements for AI systems.

Requirements

• 5+ years of experience building production AI/ML systems in a commercial environment.
• Strong proficiency in Python and experience with popular ML frameworks (PyTorch, TensorFlow).
• Hands‑on expertise with large language models, retrieval‑augmented generation, and agentic architectures.
• Solid background in data engineering, pipeline orchestration, and cloud deployment (AWS, GCP, or Azure).
• Excellent communication skills and a collaborative mindset for cross‑functional teams.