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# Senior AI Engineer

- **Company:** DV Trading
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £85,615.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Continuous Integration, Data Infrastructure, Data Security, Software Design Patterns, Intrusion Detection and Prevention, Python (Programming Language), Operational Databases, Software Engineering, Large Language Models, Kubernetes, GPT
- **Published:** July 24, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5810682022

## About the Role

5+ years software engineering; strong Python

 - Production LLM-powered agent systems shipped (not demos)
 - Experience integrating agents with databases, APIs, and internal data sources
 - MCP and/or tool-calling experience in production
 - Security experience in regulated or sensitive-data environments
 - Kubernetes, CI/CD, observability
 - Autonomous; strong communication with technical and non-technical stakeholders

Preferred:

 - Prop trading, hedge fund, or financial services
 - Firm-wide platform or standards work
 - Multi-model environments (Claude, GPT, etc.)
 - Agent evaluation and testing in production

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

## Description

Define firm-wide standards for agent and MCP development

 - Build reference agent applications for business teams
 - Design patterns for connecting agents to internal databases, APIs, and knowledge sources
 - Establish security and governance requirements for AI in a regulated trading environment
 - Partner with Security on AI-specific controls (data access, audit, threat detection)
 - Evaluate and adopt infrastructure for agent deployment and observability
 - Partner with stakeholders to identify and deliver high-value use cases


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