Senior AI Engineer

Working alongside a lean, highly skilled engineering team, you will play a central role in shaping the technical direction of the platform. You will have the autonomy to make architectural decisions, introduce scalable engineering patterns, and turn emerging AI capabilities into production-ready infrastructure. This position is ideal for an engineer who combines deep systems expertise with practical experience building intelligent, automated software., * Architect and develop core infrastructure that allows AI-powered applications to interact with APIs, retrieve contextual information, manage working state, and execute complex operations.

• Build execution frameworks that coordinate language model requests, external tool usage, API integrations, and dependent tasks across sophisticated workflows.
• Develop systems for task scheduling, workflow persistence, execution control, and decision management to support increasingly capable AI-driven applications.
• Design modular interfaces that enable integration with different foundation models, inference platforms, AI service providers, and emerging technologies.
• Establish robust evaluation and validation pipelines to measure model behavior, assess application quality, and identify opportunities for ongoing performance improvement.
• Implement end-to-end observability through distributed tracing, structured logging, metrics, and monitoring to identify bottlenecks and improve production reliability.

• Significant professional experience in software engineering, particularly across AI platforms, backend infrastructure, machine learning systems, or distributed computing environments.
• Demonstrated success delivering production software that incorporates large language models, intelligent agents, automated decision-making, or AI-assisted workflow execution.
• Strong working knowledge of modern LLM ecosystems, including model-serving APIs, structured outputs, function calling, retrieval-augmented generation, agent frameworks, and inference optimization.
• Experience evaluating AI development frameworks and infrastructure technologies, with the ability to make pragmatic choices based on performance, reliability, and long-term maintainability.
• Bachelor’s or advanced degree in Computer Science, Computer Engineering, or a related discipline is preferred; equivalent practical experience is also valuable.