AI Engineer

Menos AI builds AI-powered research intelligence for institutional asset managers. The AI Engineer designs and develops AI systems for information extraction, retrieval, reasoning, and knowledge representation, and takes solutions from prototypes to production while improving their accuracy, reliability, and performance.

Responsibilities:

• Build AI systems that solve real problems. Design and develop LLM-powered pipelines for information extraction, retrieval, reasoning, and knowledge representation across large, unstructured datasets
• Engineer for uncertainty. Build evaluation frameworks, analyze failure modes, and systematically improve the accuracy, reliability, and performance of AI applications
• Make smart architectural decisions. Work with RAG, agentic workflows, knowledge graphs, and multi-model systems. Know when to use an LLM, when a simpler approach is better, and how to balance quality, cost, latency, and scalability
• Build with AI, not just for AI. Use modern coding agents and AI development tools to speed up implementation, experimentation, and iteration, while keeping strong engineering standards
• Shape what gets built. Work closely with the team and enterprise clients to understand problems, challenge assumptions, prototype solutions, and set the right product and technical direction
• Own the outcome. Move between rapid experimentation and production-grade engineering, and take responsibility for your systems from concept through deployment and ongoing improvement