Staff AI Engineer

Staff AI Engineer, Multi-Agent Systems

Compensation: Up to $260,000 + equity

Location: Fully remote

About the Company

A venture-backed fintech AI platform building the operating layer for modern wealth and investment businesses.

Our client is building AI-native software for the financial services ecosystem, helping wealth managers, asset managers, banks, and advisors deliver better outcomes through data, automation, and intelligent workflows. Rather than focusing on a single product, they operate as a platform that launches and scales multiple AI products across the investment landscape. With strong backing, proven commercial traction, and a track record of successful exits, they are now investing heavily in the next generation of production-grade AI systems for real users in complex, high-value environments.

This is an opportunity to join a high-talent-density AI team working at the heart of that platform. You will help design and ship customer-facing multi-agent systems that power advisor copilots, investment workflows, and intelligent automation across a growing portfolio of products. This is a hands-on, builder-led role for someone who enjoys owning systems end to end and turning applied AI into production-ready software.

What You’ll Do

• 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

What You’ll Bring

• 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

Tech Stack

• LLM applications and GenAI systems
• Multi-agent orchestration frameworks
• Retrieval-augmented generation (RAG)
• Vector databases
• Backend and distributed systems architecture
• Cloud infrastructure and production deployment tooling
• Observability, monitoring, and evaluation systems

Why Join?

This is a chance to work on AI systems that are already tied to real users, real workflows, and real commercial value. You will have direct impact on a company-wide AI platform used in demanding financial environments, with the freedom to shape systems architecture and product direction in a lean, high-calibre team. The role offers significant ownership, exposure across multiple AI products rather than a single siloed initiative, and meaningful upside at a business with strong momentum and a proven history of execution. For the right person, there is also flexibility around level and scope, with room to shape the role beyond Staff level.

About People In AI

People In AI is a specialist search partner focused on building exceptional AI, machine learning, and data teams. We work closely with high-growth startups and ambitious technology businesses to connect outstanding talent with impactful opportunities across research, engineering, and leadership.