AI Orchestration Engineer at Verition Fund Management

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Asset Management, Finance, Investment ManagementIndustries

Requirements

Bachelor’s degree in computer science, engineering, or related field
2-5 years of relevant experience on the job or in a specialized graduate program
Proficiency with LLM orchestration frameworks, especially regarding context management strategies
Experience configuring model guardrails

Responsibilities

Partner with portfolio managers and analysts to identify opportunities where AI workflows can enhance research, operations, and decision making
Configure and adapt orchestration frameworks such as LangChain, LangGraph, Bedrock, and OpenSearch to facilitate advanced orchestration patterns
Test problem-specific techniques to circumvent the context window’s token cap, such as sequential chunking or pre-processing RAG data sets
Define model guardrails, engineer prompts, and refine context management strategies
Optimize OpenSearch settings per data set (text enrichment, pre-processing, vector encoding, and retrieval strategies) to improve performance for nuanced queries and big data
Provide detailed documentation for each solution, develop best practices, and share knowledge across teams
Stay current with advances in LLM orchestration and RAG techniques

Skills

AI Orchestration

Workflow Design

Workflow Optimization

Use Case Scoping

Solution Configuration

Solution Testing

Verition Fund Management

Multi-strategy hedge fund for investments

About Verition Fund Management

Verition Fund Management is a hedge fund that employs multiple investment strategies to manage assets for institutional investors, such as pension funds and high-net-worth individuals. The firm focuses on various strategies including Credit, Fixed Income Macro, Convertible Volatility Arbitrage, Event Driven, Equity Long Short Capital Markets, and Quantitative Strategies. Their approach involves dynamic capital allocation, allowing them to adapt to changing market conditions and aim for absolute returns. Verition differentiates itself from competitors through its collaborative work environment and a strong emphasis on risk management, utilizing both internal and external analyses to maintain disciplined investment practices. The company's goal is to generate positive returns for its clients while fostering a culture of creativity and cooperation among its team.

Greenwich, ConnecticutHeadquarters

2008Year Founded

$1,397.3MTotal Funding

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Risks

Emerging hedge funds using AI may outperform Verition's traditional strategies.

Regulatory scrutiny could impact Verition's fee structures and transparency requirements.

Geopolitical tensions may disrupt Verition's fixed income and equity investment strategies.

Differentiation

Verition employs a multi-strategy approach, offering diverse global investment strategies.

The firm has a collaborative environment fostering creative investment ideas.

Verition's sophisticated risk management ensures disciplined investment practices.

Upsides

Verition benefits from increased interest in ESG investing for sustainable investment strategies.

AI-driven trading platforms enhance Verition's quantitative strategies and risk management.

Alternative data sources provide Verition unique insights for competitive market predictions.

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