Senior AI Engineer

Responsibilities

• Build and scale production LLM-powered services, including prompt design, context engineering, and agent-based workflows
• Develop and maintain autonomous AI agents from prototype through production
• Design and execute evaluations for AI/ML systems to inform architecture and performance improvements
• Contribute to shared AI platforms and tooling used across engineering teams
• Write clean, scalable Python code for long-term maintainability
• Partner with product and UX teams to assess AI feasibility and technical solutions
• Monitor and optimize AI systems for performance, latency, and cost efficiency
• Troubleshoot production issues and identify opportunities for system improvements
• Ensure AI solutions meet data privacy and compliance standards
• Stay current with emerging AI/ML technologies and best practices

Requirements

• End-to-end AI/ML lifecycle experience (design through deployment and maintenance)
• Experience with cloud-based AI/ML platforms (e.g., AWS)
• Exposure to document processing and automation using LLMs
• Experience mentoring or guiding other engineers
• Familiarity with modern Python tooling and project management practices