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Mercuryo

AI Solutions Engineer

Mercuryo

. Build ad-hoc LLM-powered tools for document processing, data extraction, classification, reporting, and internal chat interfaces .

Posted 9/24/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building LLM-powered tools for document processing and automation, with a strong engineering background in Python, APIs, and SQL. Capable of integrating systems and delivering solutions that enhance operational efficiency while ensuring compliance in fintech environments.

Highest-signal resume keywords
Python ProgrammingAPI IntegrationLLM ExperienceFintech ComplianceUser Training

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonTypeScriptAPIsSQLGitLLM PromptingStructured OutputModel Error HandlingQuality EvaluationAutomation
Soft Skills
Problem SolvingCollaborationOwnershipCommunicationUser Feedback Gathering
Tools & Technologies
JiraConfluenceSlackBambooHRCRMAI Coding Agents
Industry Keywords
FintechPaymentsCompliance ConstraintsSensitive Data Handling

Tech Stack

Tools & technologies
PythonSQLTypeScript

About the role

Key responsibilities & impact
  • Build ad-hoc LLM-powered tools for document processing, data extraction, classification, reporting, and internal chat interfaces
  • Integrate internal systems through APIs and MCP connectors, including Jira, Confluence, Slack, BambooHR, CRM, and databases
  • Develop prototypes into solutions usable by non-technical teams and hand them off to support
  • Investigate and understand existing business processes before automating them
  • Work closely with Finance, Legal, Operations, and Support to identify problems and deliver practical automation
  • Take ownership of solutions from idea through adoption

Requirements

What you’ll need
  • Strong engineering background: Python (or TypeScript), APIs, SQL, git, deploying without hand-holding
  • Hands-on production experience with LLMs, including prompting, structured output, RAG, tool calling, model error handling, and quality evaluation
  • Daily use of AI coding agents such as Claude Code, Cursor, or similar as a default working mode
  • Fully autonomous: able to define the problem, choose the stack, and take it through to the end user
  • Experience in fintech or payments, with understanding of compliance constraints and handling sensitive data (nice to have)
  • Experience with rollout, user training, feedback gathering, and impact measurement (nice to have)

Benefits

Comp & perks
  • Performance-based incentives
  • 22 days annual leave
  • Additional 6 company days
  • Bank holidays
  • Comprehensive health insurance plans
  • Maternity & Paternity leave support
  • Extensive benefits program
  • Flexible work schedule
  • Remote work options
  • Modern offices and co-working spaces across 6 countries
  • Working equipment
  • Professional development and training opportunities
  • Opportunity to shape the initiatives you’re working on
  • Diverse and friendly team
  • Open-minded culture