AI Agent Developer

Job Description

Key Responsibilities • Solution Development: Design, architect, and implement AI Agent systems that automate or augment complex financial workflows, including trade support, market research synthesis, client communications, and data analysis. • LLM Integration & Orchestration: Build and maintain multi-step agent pipelines leveraging frameworks such as Dify, or equivalent orchestration platforms. Integrate with Bloomberg API, internal data infrastructure, and third-party data providers to deliver domain-specific AI capabilities. • Prompt Engineering: Develop, evaluate, and optimize structured prompts and agent instructions to ensure accuracy, consistency, and compliance-readiness in LLM-generated outputs across financial contexts. • Rapid Prototyping & Validation: Translate business requirements into functional prototypes on compressed timelines. Validate solution feasibility through iterative testing with end users and subject matter experts. • Stakeholder Engagement: Partner with traders, portfolio managers, distribution professionals, and compliance officers to identify automation opportunities, gather requirements, and ensure delivered solutions meet institutional quality standards. • Production Transition: Prepare comprehensive technical documentation, architecture diagrams, and operational runbooks to support handoff of validated solutions to the platform engineering team for production deployment and ongoing maintenance. • Technology Evaluation: Monitor and assess emerging AI capabilities, tooling, and best practices. Provide structured recommendations to senior leadership on technology adoption and strategic direction. Show More