Senior AI Engineer
DV Trading · Not provided by source
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Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Hong Kong; London; Singapore
What the role asks for
What they're asking for
- 5+ years software engineering; strong PythonExperience
- Production LLM-powered agent systems shipped (not demos)Skill
- Experience integrating agents with databases, APIs, and internal data sourcesSkill
- MCP and/or tool-calling experience in productionSkill
- Security experience in regulated or sensitive-data environmentsSkill
- Kubernetes, CI/CD, observabilitySkill
- Autonomous; strong communication with technical and non-technical stakeholdersSkill
- Prop trading, hedge fund, or financial servicesSkillPreferred
- Firm-wide platform or standards workSkillPreferred
- Multi-model environments (Claude, GPT, etc.)SkillPreferred
- Agent evaluation and testing in productionSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. 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 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.
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