Senior AI Engineer

DV Trading LLC; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

DV Trading LLC is building a centralized AI function to govern, standardize, and accelerate firm-wide AI adoption. The Senior AI Engineer defines how the firm builds production agent systems and ships reference implementations that demonstrate the patterns in production.

You will define standards for agent development, build reference applications for business teams, and design patterns to connect agents to databases, APIs, and knowledge sources, with security and governance in mind for a

Qualifications

• 5+ years software engineering experience and strong Python proficiency.
• Proven experience shipping production LLM-powered agent systems.
• Experience integrating agents with databases, APIs and internal data sources.
• Security experience in regulated or sensitive-data environments.

Responsibilities

• 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.

Skills

Python

LLM-powered agents

Agent systems

APIs

Databases

Kubernetes

CI/CD

Observability

Security

Stakeholder communication

Tools

MCP

Claude

GPT

Job description

Overview

DV Trading is building a centralized AI function to govern, standardize, and accelerate firm‑wide AI adoption. The Senior AI Engineer defines how the firm builds production agent systems and ships reference implementations that demonstrate the patterns in production.

Responsibilities

• 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

Requirements

• 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 proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.