Agentic AI Engineer

Alfa AI; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Intellectual challenge

Impactful work

Meritocratic culture

Performance bonuses

Job summary

Alfa AI in New York is seeking a highly skilled AI engineer to oversee the development of autonomous agents and their orchestration within the trading and research infrastructure.

You will architect agentic workflows, implement cognitive architectures, and integrate tools and data APIs to enable high‑frequency financial analytics. A strong Python background and experience with LLMs are essential for success.

Qualifications

• Strong software engineering background with expert-level Python.
• Experience building applications with Large Language Models and agentic design patterns.
• Proficiency with vector databases and Retrieval-Augmented Generation pipelines.
• Exceptional problem-solving skills for high-stakes environments.
• Master's degree or PhD in CS/AI/Math or related field.
• Experience in hedge funds/fintech is desirable but not required.

Responsibilities

• Architect multi-agent workflows to automate analytical and operational tasks.
• Develop cognitive architectures with Chain-of-Thought, ReAct, and self-reflection loops.
• Integrate AI agents with internal data APIs, financial modelling tools, and execution environments.
• Monitor and optimise agent performance for latency, reliability, and cost.
• Collaborate with Quant researchers and Portfolio Managers to accelerate research cycles.
• Stay current with AI literature and open-source models to push capabilities.

Skills

Python

LLMs

Agentic design patterns

Vector databases

Problem solving

Education

Master's or PhD in CS/AI/Math

Tools

Pinecone

Milvus

Weaviate

RAG pipelines

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