AI Engineer

AI Engineer (GenAI Workflows for OTC Derivatives)

Location: New York City (SoHo) In-Person

About Our Client

Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasnt fundamentally changed in decadesand this team is rebuilding that foundation with a modern stack a delightful product experience and an AI-native architecture.

The founding team comes from trading quantitative and engineering roles at tier-one financial institutions and has built some of the most innovative products in the market. Their clients include sophisticated banks hedge funds and asset managersmeaning the problems are complex the scale is massive and the software will shape how this market operates for years to come.

Tech Stack

• Cloud-native serverless-first architecture Infrastructure-as-Code (IaC)

• Backend services in Python and Java

• Frontend in TypeScript / React

• Modern foundation models AI tooling

• Automated SDLC using tools like GitHub Logfire Vercel and rapid intraday deployment practices

The Role

Our client is hiring an AI Engineer to build and productionize generative AI workflows that increase efficiency across the OTC derivatives lifecycle. Youll own key parts of the evaluation and context engineering infrastructureensuring model outputs are high-quality reliable and explainable.

Youll work closely with financial engineers and domain experts to design retrieval grounding and validation pipelines for complex derivatives data. The work includes building tools for knowledge extraction from trade documents improving data consistency across the trade lifecycle and integrating AI reasoning into workflows like settlement valuation and risk management.

What Youll Do

• Build GenAI workflows that automate and enhance OTC derivatives processes end-to-end

• Own context engineering (retrieval grounding memory and data shaping) to improve response quality and reliability

• Build evaluation systems (offline online) to measure accuracy consistency and explainability

• Design structured output patterns (schemas constrained generation validation) for production-grade AI

• Create pipelines to extract and normalize data from unstructured trade documents (confirmations term sheets etc.)

• Integrate AI reasoning into downstream workflows (settlement valuation risk cashflows reconciliation)

• Collaborate with domain experts to translate financial requirements into robust AI systems

• Contribute to a high-velocity engineering culture with strong SDLC practices and rapid deployments

Requirements

• Bachelors degree in Computer Science Engineering Mathematics Financial Engineering or related field

• In-person role in NYC (SoHo)

• Strong proficiency in Python (Java experience is a plus)

• Proficiency in prompt engineering and structured output generation (JSON Pydantic schemas validation)

• Experience with NoSQL databases (e.g. MongoDB DynamoDB)

• Familiarity with cloud infrastructure and deployment tools (CDK Terraform) and cloud providers (AWS GCP Azure)

• Strong understanding of both traditional SDLC and AI SDLC (versioning testing rollout monitoring)

• Strong software design fundamentals

• Excellent problem-solving and communication skills

Bonus Qualifications

• Experience fine-tuning or deploying LLMs (OpenAI Anthropic Gemini etc.)

• Familiarity with vector databases and RAG pipelines

• Experience building AI agents or workflow orchestration for financial data tasks

• Understanding of OTC derivatives data models and trade representations (e.g. ISDA concepts)

• Experience integrating AI systems with pricing settlements risk or cashflow infrastructure

• Familiarity with LangChain PydanticAI LlamaIndex or similar frameworks

• Experience extracting data from unstructured financial documents (confirmations term sheets schedules)

• Strong grasp of evaluation hallucination mitigation and data quality management in production AI systems

Why This Role

This is a rare chance to build production-grade AI systems in a domain where correctness matters and the upside is massive. If you want to own foundational AI infrastructure work alongside domain experts and modernize a trillion-dollar marketthis role is built for high-impact engineers.

Required Experience:

IC