Description

Design and deliver enterprise-grade AI applications that enhance investment processes, client reporting, and operational efficiency.

This role is hybrid.

Responsibilities

• Design, build, and deploy full stack AI applications leveraging Anthropic Claude and similar LLM technologies.
• Develop scalable, secure cloud-native solutions within AWS (Lambda, ECS/EKS, S3, RDS, API Gateway).
• Build intuitive user interfaces delivering AI-driven insights to portfolio managers and client service teams.
• Implement retrieval-augmented generation (RAG) solutions across structured and unstructured financial data.
• Partner with investment, compliance, and risk teams to ensure responsible AI usage and model governance.

Required Skills

• 5+ years of full stack software engineering experience.
• Hands-on experience building and deploying LLM-powered applications (Claude strongly preferred).
• Strong expertise in AWS and cloud-native architecture.
• Proficiency in Python and/or Node.js, with modern front-end frameworks (React preferred).
• Experience working within asset management, wealth management, or financial services.
• Strong understanding of data engineering concepts, APIs, and distributed systems.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with investment data, portfolio analytics, or client reporting platforms.
• Familiarity with regulatory requirements (SEC, FINRA) and model governance frameworks.
• Experience with vector databases, embeddings, and MLOps.

Key Skills

Education

Bachelor's degree