Agentic AI Engineer

Camber Morris

New York, NY, USA
Permanent
Hybrid
$150,000 - $250,000/year
PythonLLM Orchestration (LangGraph/AutoGen)System Design

Agentic AI Engineer

Company Overview

We are a leading global hedge fund that sits at the intersection of high-performance computing, quantitative research, and innovative financial strategies. Our organisation prides itself on a culture of intellectual curiosity, rigour, and the pursuit of alpha through technological excellence. By joining our team, you will be part of an elite group of engineers and researchers dedicated to pushing the boundaries of what is possible in the financial markets.

Role Overview

We are seeking an exceptional Agentic AI Engineer to lead the design and implementation of autonomous AI systems within a top tier hedge fund . In this role, you will go beyond simple LLM prompts, building sophisticated multi-agent systems capable of reasoning, planning, and executing complex workflows across our trading and research infrastructure. This is a high-impact position where you will translate the latest advancements in AI agents into tangible competitive advantages for the firm.

Key Responsibilities

  • Architect Agentic Workflows: Design and deploy robust multi-agent systems using frameworks such as LangGraph, AutoGen, or CrewAI to automate complex analytical and operational tasks.
  • Cognitive Architecture Development: Implement advanced reasoning patterns including Chain-of-Thought, ReAct, and self-reflection loops to ensure high-fidelity decision-making by AI agents.
  • Tool Integration: Build and maintain secure interfaces between AI agents and internal data APIs, financial modelling tools, and execution environments.
  • Performance Optimisation: Monitor, analyse, and optimise agent behaviour for latency, reliability, and cost-effectiveness, ensuring systems can handle high-frequency financial data.
  • Cross-functional Collaboration: Work closely with Quantitative Researchers and Portfolio Managers to identify opportunities where agentic automation can accelerate the research cycle or improve operational efficiency.
  • Research & Innovation: Stay at the forefront of the rapidly evolving AI landscape, evaluating new papers and open-source models to integrate state-of-the-art capabilities into our ecosystem.

Required Skills and Qualifications

  • Technical Excellence: A strong background in Software Engineering with expert-level proficiency in Python.
  • AI Specialisation: Proven experience building applications with Large Language Models (LLMs) and a deep understanding of agentic design patterns and orchestration frameworks.
  • Data Management: Proficiency in working with vector databases (e.g., Pinecone, Milvus, Weaviate) and implementing sophisticated Retrieval-Augmented Generation (RAG) pipelines.
  • Analytical Rigour: Exceptional problem-solving skills and the ability to analyse complex system behaviours in a high-stakes environment.
  • Education: A Master’s degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
  • Financial Domain Knowledge (Preferred): Experience within a hedge fund, investment bank, or fintech environment is highly desirable but not essential for a candidate with world-class technical skills.

Why Join Us?

  • Intellectual Challenge: Work on some of the most complex problems in the industry using cutting-edge AI technology.
  • Impact: See your work directly influence the performance and efficiency of a global investment leader.
  • Culture: Thrive in an environment that values meritocracy, continuous learning, and technical brilliance.
  • Compensation: Competitive salary and performance-linked bonuses that reflect the high-value nature of this role.