Mercury
Fintech · Startup banking
- HQ
- London, GB
- Founded
- 1945
- Website
- mercuryrecords.com
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.
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).
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 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 |
| Senior Software Engineer - Risk (AI & Automation) Senior Software Engineer role focused on building agentic AI systems for risk management and compliance in a fintech company. The role involves driving AI product development, collaborating across functions, leading end-to-end technical projects, and ensuring quality and scalability of AI-driven workflows. | Agent | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Mercury, a fintech company, focusing on building and deploying ML & Gen AI microservices for automating customer application reviews to prevent financial crimes. The role involves integrating these services into the existing review experience, including human feedback loops, and implementing robust testing and observability. | Agent | 7 |
| AI Context Operations Lead This role focuses on building and maintaining Mercury's internal knowledge infrastructure, acting as a trusted context layer for company information. It involves designing schemas, validation workflows, and automations to ensure data accuracy and discoverability for both people and internal AI agents. The goal is to create a high-signal knowledge system that supports leadership reporting, planning, and operational reviews, ultimately enabling AI systems to operate effectively. | Agent | 5 |
| Senior Product Designer - Accounting Systems Senior Product Designer to help define and design a next-generation AI-powered experience within Mercury’s accounting ecosystem. This role focuses on turning sophisticated automation and domain logic into intuitive, reliable, and empowering experiences. | Agent | 5 |
| AI Solutions Architect This role focuses on defining and implementing the strategy for customer-facing chatbots and AI agents within the Customer Support organization. It involves architecting workflows, optimizing bot performance, ensuring quality and safety, and collaborating with engineering and product teams to expand the bot's capabilities. The role also involves evaluating AI tooling and managing vendor relationships. | Agent | 5 |
| Senior Infrastructure Engineer Senior Infrastructure Engineer to build and manage cloud infrastructure, focusing on creating an AI-friendly platform that supports both human and agent users, and developing frameworks for safe AI usage within infrastructure. | Agent | 5 |