Developer

Overview

• Lead AI initiatives, focusing on applied AI and agentic systems development.
• Collaborate with cross-functional teams to identify and execute high-impact AI opportunities.
• Design, deploy, and manage LLM-based products for business and investment workflows.
• Architect agentic AI systems to enhance research, trading, and operational decision-making.
• Develop secure integrations connecting AI agents with enterprise data and services.
• Lead R&D efforts in applied AI, utilizing modern frameworks and techniques.
• Establish best practices for AI model development and deployment in production environments.
• Stay updated on AI advancements and apply emerging techniques to solve complex problems.
• Mentor junior engineers, fostering growth and technical excellence.

Key Responsibilities & Duties

• Define technical vision and roadmap for AI initiatives across the organization.
• Collaborate with portfolio managers, quants, and business teams to prioritize AI projects.
• Design and deploy LLM-based solutions for specific workflows and general AI capabilities.
• Implement agentic AI systems for multi-step reasoning and decision-making augmentation.
• Develop and operate integration layers for secure communication between AI agents and enterprise systems.
• Conduct rapid prototyping and applied AI research to transition concepts to production.
• Establish standards for responsible AI usage in production environments.
• Monitor and iterate AI systems in live environments for optimal performance.
• Provide mentorship and guidance to junior engineers and researchers.

Job Requirements

• Bachelor of Science in Computer Science, Artificial Intelligence, or related field.
• Minimum 5 years of experience in building and deploying production AI systems.
• Proficiency in Python engineering, including object-oriented design and microservices.
• Hands-on experience with LLM applications and agentic AI frameworks.
• Strong understanding of Model Context Protocol servers and secure integrations.
• Excellent interpersonal and communication skills for collaboration in fast-paced environments.
• Ability to mentor and develop junior team members effectively.
• Commitment to ethical standards and continuous learning in AI advancements.
• Preferred advanced degree (Master’s or Ph.D.) in relevant fields.