AI Agent Developer

Job description

• 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 Bloombe...rg 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.

Qualifications

• Bachelor's degree or above in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

• Demonstrated experience with large language models, AI agent frameworks (AutoGen, CrewAI, Dify, or comparable), and prompt engineering methodologies.

• High proficiency with AI-assisted development environments including GitHub Copilot, Cursor, Claude, and GPT-based tooling.

• Excellent English communication skills — both written and verbal — with the ability to produce clear technical documentation and precise model instructions.

• Strong analytical and problem-solving capabilities; ability to decompose complex, ambiguous business problems into structured, deliverable engineering tasks.

• Self-directed work style with the ability to manage multiple concurrent initiatives and deliver under time constraints.

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