Staff AI Engineer

People In AI is a venture-backed fintech AI platform focused on building the operating layer for modern wealth and investment businesses. The Staff AI Engineer will design and ship customer-facing multi-agent systems, developing end-to-end AI pipelines and building scalable backend services to enhance financial workflows.

Responsibilities:

• Design, build, and ship production-grade multi-agent systems for customer-facing financial workflows
• Develop end-to-end AI pipelines spanning retrieval, reasoning, tool use, validation, and compliance-aware execution
• Architect orchestration layers including agent coordination, state management, memory, and tool routing
• Build scalable backend services with strong observability, fault tolerance, and monitoring
• Create evaluation frameworks to measure reasoning quality, correctness, and hallucination mitigation
• Contribute to platform-level technical decisions across model serving, orchestration, vector infrastructure, and deployment patterns
• Partner closely with product and cross-functional stakeholders to translate real-world business workflows into robust AI systems
• Operate as a senior individual contributor in a lean team with high ownership and minimal bureaucracy

Requirements:

• Proven experience shipping LLM or GenAI products into production
• Strong hands-on experience with multi-agent systems and orchestration frameworks
• Deep understanding of RAG, retrieval systems, and LLM application pipelines
• Solid backend engineering skills and experience working on distributed systems
• Experience with cloud infrastructure, deployment, and production operations
• Ability to work end to end in a lean, fast-moving environment
• Strong product instincts and the ability to connect technical decisions to user and business outcomes
• Experience building customer-facing systems rather than purely internal tools
• Interest in financial services, or strong motivation to learn the domain quickly