Junior AI Engineer at AQR Capital Management

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

Degree in Computer Science, Engineering, or related technical field, or equivalent industry experience
Proficiency in Python and experience with frameworks such as OpenAI Agents SDK, LangChain, LlamaIndex, or Hugging Face Transformers
Understanding of RAG and LLM orchestration techniques
Experience working with APIs, vector databases (e.g., Qdrant, Pinecone, FAISS, Weaviate), and embedding models
Familiarity with cloud platforms (AWS, Azure) and containerized environments
Strong grasp of software engineering fundamentals — version control, modular design, testing, and documentation
Self-motivated, able to learn quickly, curious, and motivated technologist with strong interest in AI transforming workflows
Thrive in collaborative, fast-moving environments, comfortable with hands-on engineering, take initiative in problem-solving, and enjoy scaling new technologies responsibly
Desirable Requirements
Exposure to agentic AI systems or multi-agent orchestration frameworks
Experience building internal tools, SDKs, or developer platforms
Familiarity with MLOps, CI/CD for models, and monitoring pipelines
Previous experience working in financial markets or investment firms
Interest in financial technology or data-rich enterprise environments

Responsibilities

Design and implement frameworks for advanced AI capabilities, including LLM-powered applications, RAG systems, agentic process automation, and scalable internal AI tools
Collaborate closely with Front Office Technology, Quant Research, Data Technology, Rapid Application Development, and business teams
Build, deploy, and maintain scalable AI infrastructure to support quantitative researchers, analysts, and operational users
Contribute to real-world financial applications of AI and the firm’s software development lifecycle
Help shape tools and standards for responsible, high-performance AI engineering
Enhance trading, research, and operational efficiency across the firm through AI integration

Skills

Key technologies and capabilities for this role

LLMsRAGMachine LearningGenerative AIAgentic Process AutomationAI InfrastructureRetrieval-Augmented GenerationQuantitative AI

Questions & Answers

Common questions about this position

What is the location for this Junior AI Engineer role?

The position is based in London.

What essential skills are required for this position?

Essential skills include a degree in Computer Science, Engineering, or related field; proficiency in Python and frameworks like OpenAI Agents SDK, LangChain, LlamaIndex, or Hugging Face Transformers; understanding of RAG and LLM orchestration; experience with APIs, vector databases, embedding models; familiarity with cloud platforms and containerized environments; and strong software engineering fundamentals.

What is the salary or compensation for this role?

This information is not specified in the job description.

What teams will I collaborate with in this role?

The role involves close collaboration with Front Office Technology, Quant Research, Data Technology, Rapid Application Development, and business teams to develop AI systems.

What makes a strong candidate for this Junior AI Engineer position?

A strong candidate has the essential experience listed, plus desirable skills like exposure to agentic AI systems, building internal tools or SDKs, and familiarity with MLOps, CI/CD, and monitoring pipelines.

AQR Capital Management

Global investment management firm offering diversified strategies

About AQR Capital Management

AQR Capital Management provides investment management services with a focus on technology, data, and behavioral finance. The firm offers a variety of investment strategies that are based on a consistent set of principles, aiming to achieve long-term and repeatable results. AQR works primarily with institutional investors such as pension funds, insurance companies, and sovereign wealth funds, as well as financial advisors and their clients. Their investment approach combines both qualitative and quantitative methods to carefully design and test investment models. AQR differentiates itself by applying systematic and well-thought-out investment solutions that enhance portfolio construction, risk management, and trading. The company's goal is to deliver value through effective asset management while generating revenue from management and performance fees on the assets they oversee.

Greenwich, ConnecticutHeadquarters

1998Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Risks

Increased competition from quantitative firms may erode AQR's market share.

The rise of passive strategies like ETFs could impact demand for AQR's services.

Regulatory scrutiny on quantitative trading could increase compliance costs for AQR.

Differentiation

AQR integrates financial theory with practical application for superior investment results.

The firm uses quantitative tools to process fundamental information and manage risk.

AQR's systematic approach aligns with the growing trend of factor investing.

Upsides

AQR can leverage ESG factors in their quantitative models to meet rising demand.

Machine learning advancements enhance AQR's data analysis and predictive modeling capabilities.

AQR can capitalize on personalized investment solutions with their quantitative tools.

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