Senior Production AI Agent Architect

DV Trading LLC

Greater London

Hybrid

GBP 120,000 - 160,000

Full time

14 days+
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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

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

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