Agentic AI Engineer

Responsibilities

• Architect Agentic Workflows: design and deploy multi-agent systems that automate complex analytical and operational tasks, leveraging LangGraph, AutoGen, or CrewAI.
• Cognitive Architecture Development: implement advanced reasoning patterns such as Chain-of-Thought, ReAct, and self-reflection loops to support high-fidelity AI decision making.
• Tool Integration: build and maintain secure interfaces between AI agents and internal data APIs, financial modelling tools, and execution environments.
• Performance Optimisation: monitor, analyze, and optimise agent behavior for latency, reliability, and cost-effectiveness to handle high-frequency financial data.
• Cross-functional Collaboration: partner with Quantitative Researchers and Portfolio Managers to identify opportunities where agentic automation accelerates research cycles or improves operational efficiency.
• Research & Innovation: stay current with AI literature and open-source models to integrate state-of-the-art capabilities into the ecosystem.

Requirements

• Strong software engineering background with expert-level Python proficiency.
• Experience building applications with Large Language Models and a solid understanding of agentic design patterns and orchestration frameworks.
• Proficiency with vector databases (Pinecone, Milvus, Weaviate) and implementing Retrieval-Augmented Generation pipelines.
• Exceptional problem-solving skills and the ability to analyse complex system behaviours in high-stakes environments.
• Master's degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or related quantitative field.
• Experience in a hedge fund, investment bank, or fintech environment is desirable but not essential for candidates with world-class technical skills.

Technologies

• Python
• LangGraph
• AutoGen
• CrewAI
• Pinecone
• Milvus
• Weaviate
• Retrieval-Augmented Generation (RAG)

Benefits

• Intellectual Challenge: work on complex AI problems using cutting-edge technology.
• Impact: your work directly influences the performance of a global investment leader.
• Culture: meritocracy, continuous learning, and technical excellence.
• Compensation: competitive salary plus performance-based bonuses reflecting the role's value.

Salary

USD 150,000 - 250,000 per year

Work Location

Hybrid remote in New York, NY