Mercury
Fintech · Startup banking
- HQ
- London, GB
- Founded
- 1945
- Website
- mercuryrecords.com
Fintech · Startup banking
Currently tracking 3 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $167k–$299k (avg $228k).
Mercury currently has 5 active AI-related job listings. The majority of these roles, 80%, are focused on agents. The top functions Mercury is hiring for are Engineering, with 3 roles, and Product, with 2 roles. Frequent tech tags associated with these openings include agent orchestration, guardrails, and LLM observability. Over the last 30 days, Mercury has posted 1 new AI role, representing a 75% decrease compared to the previous 30-day period.
Mercury currently has 6 active AI-related roles in our index. The most common open titles are: Senior Machine Learning Operations Engineer, Senior Model Risk Manager - AI/ML, Senior Product Designer - Accounting Systems, Senior Product Manager - API & Agentic Banking, Senior Software Engineer - AI Engineering. Most positions are in Engineering and Product.
Mercury's active AI hiring is concentrated in: agents (67%), serving infrastructure (33%). 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 reference: model serving, llm observability, agent orchestration, inference infra, guardrails.
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 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 |
| Senior Model Risk Manager - AI/ML This role is responsible for defining and enhancing model risk management (MRM) frameworks for AI/ML systems at Mercury, a fintech company. The Senior Model Risk Manager will own the validation, monitoring, and governance of the AI/ML model portfolio, including predictive models, generative AI systems, and agentic workflows. The role requires a strong understanding of AI risks, partnering with various teams, and shaping responsible AI standards. The position also involves developing AI-enabled automation tools for MRM and championing MRM as a strategic enabler. | AgentPost-train | 7 |
| Senior Product Manager - API & Agentic Banking Product Manager for API and Agentic Banking at Mercury, focusing on building AI-powered product experiences and integrating with AI tools and developer platforms to make banking programmable and intelligent. | Agent | 7 |