Agentic AI Engineer

Alfa AI operates at the intersection of advanced AI and financial markets. In New York, this role centers on designing and delivering autonomous AI systems that can reason, plan, and execute complex workflows across trading and research infrastructure to gain a competitive edge.

Responsibilities

• Architect multi-agent workflows that automate intricate analytical and operational tasks, leveraging frameworks such as LangGraph, AutoGen, and CrewAI.
• Develop cognitive architectures with advanced reasoning patterns like Chain of Thought, ReAct, and self reflection loops to support high fidelity AI decision making.
• Build and maintain secure interfaces between AI agents and internal data APIs, financial modeling tools, and execution environments.
• Monitor and optimise agent performance for latency, reliability, and cost efficiency to handle high frequency market data demands.
• Collaborate with Quantitative Researchers and Portfolio Managers to identify opportunities where agentic automation accelerates research cycles or improves operations.
• Stay at the forefront of AI developments by evaluating new papers 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 understanding of agent oriented design patterns and orchestration frameworks.
• Proficiency with vector databases such as Pinecone, Milvus, and Weaviate, and experience implementing Retrieval Augmented Generation pipelines.
• Exceptional problem solving skills and the ability to analyze complex system behaviors in high stakes environments.
• Master's degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
• Experience in a hedge fund, investment bank, or fintech environment is highly desirable but not essential for a candidate with world class technical skills.

Technologies

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

Benefits

• Intellectual Challenge: Tackle some of the industry’s most complex problems using cutting edge AI technology.
• Impact: Your work directly influences the performance and efficiency of a global investment leader.
• Culture: Thrive in a meritocratic environment that values continuous learning and technical excellence.
• Compensation: Competitive salary with performance linked bonuses reflecting the high value of this role.

Role overview

This position leads the design and implementation of autonomous AI systems within a premier hedge fund. You will move beyond prompt based approaches to build sophisticated multi-agent systems that reason, plan, and execute across trading and research infrastructure, translating the latest AI agent advances into tangible competitive advantages.

Company overview

Alfa AI is a leading global hedge fund operating at the crossroads of high performance computing, quantitative research, and innovative financial strategies. The company emphasizes intellectual curiosity, rigor, and the pursuit of alpha through technological excellence. Joining the team means collaborating with engineers and researchers dedicated to expanding what is possible in financial markets.

Location and compensation

• Location: Hybrid remote in New York, NY
• Salary: $150,000 - $250,000 per year