AI Engineer

Responsibilities

• Design, build, and maintain production-grade AI applications for FMX's exchange business.
• Develop agentic AI workflows utilizing LLMs, tool use, planning, and structured outputs.
• Arcitect reliable AI application patterns with human-in-the-loop controls and monitoring.
• Evaluate LLM-powered systems using quantitative and qualitative methods, including benchmark design and red-team testing.
• Analyze model behavior, identify failure modes, and implement improvements for accuracy and reliability.
• Build and integrate APIs, data pipelines, and vector databases to support AI application development.
• Apply software engineering best practices, including clean architecture and automated testing.
• Partner with cross-functional teams to translate business needs into technical designs.
• Contribute to technical strategy and architectural decisions for AI platforms and reusable components.
• Mentor other engineers and help raise the team's AI engineering capabilities.

Qualifications

• Bachelor's degree in computer science, machine learning, or a related technical field.
• 5+ years of professional software engineering experience, including production systems.
• 2+ years of hands-on experience developing AI or LLM-powered applications.
• Demonstrated experience building agentic AI systems, including tool-using agents and multi-step workflows.
• Strong programming skills in C++ and Python, with a focus on writing production-quality code.
• Experience with modern LLM development patterns, such as prompt engineering and structured outputs.
• Practical understanding of LLM failure modes and mitigation strategies.
• Experience designing evaluation frameworks for AI applications, including test datasets and scoring methods.
• Hands-on experience with APIs, microservices, and cloud deployment.
• Strong understanding of security, privacy, and responsible AI considerations.

Pay

Compensation Expectations: $300,000- $350,000 Total