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Closed on August 15, 2026.
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Job Description
Oversee the development of autonomous AI agents and their orchestration within Alfa AI's trading and research infrastructure.
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
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