Senior AI Engineer

DV Trading

$200K — $300K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in software engineering, particularly expertise in Python
  • Proven experience shipping production-level LLM-powered agent systems
  • Hands-on integration experience with databases and APIs
  • Demonstrated knowledge of MCP and tool-calling in production contexts
  • Security background in regulated environments or handling sensitive data
  • Familiarity with Kubernetes, CI/CD practices, and observability tools
  • Ability to communicate effectively with both technical and non-technical stakeholders

Responsibilities

  • Define and establish firm-wide standards for developing agents and MCPs
  • Develop reference agent applications tailored for business team use
  • Design connection patterns for agents to interact with databases, APIs, and data sources
  • Set security and governance protocols for AI systems in a trading context
  • Collaborate with Security to create AI-focused safety measures
  • Assess and implement effective infrastructure for agent deployment
  • Work with stakeholders to discover and implement high-value AI use cases

Benefits

  • Discretionary bonus eligibility
  • Comprehensive medical, dental, and vision insurance
  • Health Savings Account (HSA), Flexible Spending Account (FSA), and Dependent Care Options
  • Employer-paid Group Term Life and Accidental Death & Dismemberment insurance
  • Voluntary Long-Term Disability (LTD), Life & AD&D insurance
  • Flexible Vacation policy
  • Retirement plan with employer match
Full 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.

Job 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

Benefits:
  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care Options
  • Employer Paid Group Term Life and AD&D insurance
  • Voluntary LTD, Life & AD&D insurance
  • Flexible Vacation policy
  • Retirement plan with employer match

The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above.

Base Salary Range

$200,000-$300,000 USD

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