Mercury
Fintech · Startup banking
- HQ
- London, GB
- Founded
- 1945
- Website
- mercuryrecords.com
Currently tracking 6 active AI roles, with 26 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $167k–$303k (avg $227k).
Mercury currently has 9 active AI-related job listings. The majority of these roles, 56%, are focused on agents. Engineering and Product are the top functions hiring for these positions. The company is actively seeking candidates with expertise in agent orchestration, LLM observability, and model serving.
Fintech · Startup banking
Mercury currently has 9 active AI-related roles in our index. The most common open titles are: AI Context Operations Lead, Financial Crimes Compliance Modeling & Analytics Manager, Head of Revenue Technology & Architecture, Open Call for Founders / Founding Teams - Product Management and Engineering, Senior Machine Learning Operations Engineer. Most positions are in Engineering and Product.
Mercury's active AI hiring is concentrated in: agents (56%), serving infrastructure (22%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Mercury most frequently mention: Real-Time Systems, Product Management, Payments & Fintech, Machine Learning, CI/CD.
In the past 30 days, Mercury has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - AI Engineering This role focuses on building and scaling Mercury's internal AI platform and enablement layer, extending existing infrastructure, operating LLM gateway, and strengthening the shared company knowledge layer. The goal is to turn scattered AI experiments into shared capabilities, enabling faster prototyping and iteration across the company, including self-service tools for non-engineers and evaluation harnesses for AI agents. | AgentServe | 8 |
| Senior Software Engineer - Mercury Command Senior Software Engineer at Mercury, focused on evolving and extending Mercury Command, an LLM-powered financial assistant. The role involves designing and shipping new capabilities, building agentic workflows, owning the LLM layer (prompt architecture, model behavior tuning), and developing the eval harness for quality assurance. Requires significant experience in scaling LLM applications, designing agentic systems, and understanding production LLM tradeoffs. | AgentEval Gate | 8 |
| Head of Revenue Technology & Architecture Lead the AI-first rebuild of Mercury's revenue technology stack, focusing on automation, scoring, and agent-driven workflows for Sales, Partnerships, and Account Management. This hands-on leadership role requires translating business problems into technical solutions and guiding a team of admins, engineers, and architects. | Agent | 7 |
| Senior Machine Learning Operations Engineer This role focuses on building and operating the real-time inference service for ML models in a fintech setting, emphasizing low latency and high availability. It involves owning model deployment infrastructure, observability, and partnering with data science for production operation. The goal is to create a reliable production ML lifecycle platform. | Serve | 7 |