We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

 

As an Engineer Associate at JPMorgan Chase in the Market Data team, Commercial & Investment Bank (CIB), you will promote innovation in digital rights and market data discovery by developing advanced AI-powered solutions. As a key contributor, you will leverage your expertise in GenAI, AgenticAI, Python, RAG, and MCP to build and optimize the SCUDO platform—an industry-leading, patented application for digital rights management and market data discovery. You will collaborate with cross-functional teams to deliver high-impact solutions that enhance business user experience, workflow efficiency, and cost transparency.

 

As an Associate Engineer in the Market Data Services team, you will be instrumental in extending SCUDO’s capabilities from digital rights management to a multi-module platform, embedding generative AI for contract data extraction, market data query answering, and AI-driven analytics dashboards. You will be recognized for your technical acumen in AI document parsing, LLM integration, and data management.

 

Job Responsibilities

Design, develop, and maintain advanced solutions for automating extraction, processing, and management of information from diverse document types (PDFs, Word files, scanned images, etc.)Leverage OCR, NLP, and machine learning technologies to accurately parse and structure unstructured and semi-structured dataOptimize the accuracy, performance, and scalability of document parsing pipelines; maintain technical documentation and provide training/support to stakeholdersDocument integration architectures, protocols, and operational proceduresValidate data contracts and usage rights, ensuring compliance and optimal utilizationWork extensively with RDF data, utilizing SPARQL for graph queriesManage and query data using SQL for Oracle databases and No-SQL DSL for ElasticSearchCollaborate with stakeholders to ensure data solutions meet business and regulatory requirementsActively participate in Agile ceremonies and two-week sprint cyclesStay current with advancements in MCP, LLMs, and AI integration technologies

 

Required Qualifications, Capabilities, And Skills

Hands-on experience with large language models (LLMs) and GenAI frameworksProficiency in Python and AI/ML librariesExperience with retrieval systems, vector databases, and search technologiesFamiliarity with RAG architectures and best practicesUnderstanding of prompt engineering, model fine-tuning, and evaluationDemonstrated ability to validate data contracts and usage rights, strong expertise with RDF data and SPARQL graph query languagesExperience with document parsing technologies (OCR, NLP, machine learning)Proficient in SQL for Oracle and No-SQL DSL for ElasticSearchKnowledge of MCP server technologyTrack record of developing and implementing data management policies and best practicesExcellent communication and stakeholder management skills, experience working in agile teams

 

Preferred Qualifications, Capabilities, And Skills

Experience with AWS Neptune, AWS Glue, ElasticSearch, and Oracle database products is beneficial