AI Engineer

About the Role In this role, you will build generative AI workflows to increase efficiency across the OTC derivative landscape. You will own our evaluation and context engineering infrastructure, ensuring high-quality, reliable, and explainable model outputs. You’ll work closely with financial engineers and domain experts to design retrieval, grounding, and validation pipelines for complex derivative data, including tools for knowledge extraction from trade documents and AI reasoning integrated into workflows for settlement, valuation, and risk management. What You'll Do

• Build generative AI workflows to increase efficiency across the OTC derivative landscape.
• Own evaluation and context engineering infrastructure, ensuring high-quality, reliable, and explainable model outputs.
• Design retrieval, grounding, and validation pipelines for complex derivative data; build tools for knowledge extraction from trade documents; enhance data consistency across trade lifecycles; integrate AI reasoning into settlement, valuation, and risk management workflows. What We're Looking For
• Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or a related field.
• Strong proficiency in Python; knowledge of Java is a plus.
• Proficiency in prompt engineering and structured output generation (e.g., JSON, Pydantic schemas).
• Experience with NoSQL databases such as MongoDB or DynamoDB.
• Familiarity with cloud infrastructure and deployment tools (CDK, Terraform) and cloud providers (AWS, GCP, Azure).
• Strong understanding of traditional and AI SDLC; software design principles.
• Excellent problem-solving and communication skills. Nice to Have
• Experience fine-tuning or deploying large language models (OpenAI, Anthropic, Gemini, etc.).
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines.
• Experience building AI agents or workflow orchestration for financial data tasks.
• Understanding of OTC derivative data models and trade representations (ISDA).
• Experience integrating AI systems with financial infrastructure (pricing, settlements, risk, or cashflows).
• Familiarity with LangChain, PydanticAI, LlamaIndex, or similar AI frameworks.
• Experience with data extraction from unstructured financial documents (confirmations, term sheets, etc.).
• Strong grasp of model evaluation, hallucination mitigation, and data quality management in production AI systems.