Senior Applied AI Engineer

Section: Overview Senior Applied AI Engineer to design and build production-grade AI-enabled systems across backend engineering, LLM integration, agent workflows, and distributed infrastructure. You will help define the architecture and technical direction of the platform from an early stage.

Section: Key Responsibilities

• Design and build production-grade AI systems that can reason, use tools, and interact with real infrastructure.
• Develop agent workflows and structured tool-calling patterns that are reliable, secure, and observable.
• Build and maintain backend services and distributed systems using C#/.NET, Python, or TypeScript.
• Integrate LLM APIs and related AI services into production applications.
• Implement permissions, observability, monitoring, and safety controls for AI-driven workflows.
• Collaborate with product, engineering, and business stakeholders to translate requirements into scalable technical solutions.
• Take ownership of architecture and technical decisions as an early member of the team.

Section: Requirements

• Strong proficiency in at least one of the following: C#/.NET, Python, or TypeScript.
• Experience building and operating production backend systems.
• Hands-on experience with LLM APIs, agent workflows, structured tool calling, and AI system reliability.
• Solid understanding of distributed systems, permissions, observability, and production operations.
• Ability to work independently, make architectural decisions, and take ownership of complex systems.
• Strong communication and collaboration skills.

Section: Preferred Qualifications

• Experience in fintech, payments, or banking infrastructure.
• Experience building AI systems that interact with real infrastructure or sensitive data.
• Familiarity with security, compliance, and reliability requirements in financial environments.