About the Business
 

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com
 

We are seeking a highly skilled and motivated Software Engineer to join our team, to create an LLM neutral prompt templating system coupled to a fully automated LLM Test Harness system. As a Software Engineer, you will play a critical role in developing and maintaining fully automated test harnesses, as well as designing and implementing a LLM prompt template expansion system.
Additionally, you will be responsible for mapping between our LLM workflows to our existing workflow systems to enhance efficiency and integration.

Qualifications :

• 6+ years of Software Engineering experience

• BS Engineering/Computer Science or equivalent experience required

Responsibilities:

• Design, develop, and maintain test harnesses for software testing purposes, ensuring comprehensive coverage of test cases.

• Design and develop large language models that excel in various NLP tasks such as text generation, sentiment analysis, language translation, and question answering.

• Create a prompt template expansion system to dynamically generate prompts and responses based on predefined templates and user input.

• Collaborate with cross-functional teams to understand requirements and map contexts onto existing workflow systems.

• Implement algorithms and data structures to efficiently manage prompt templates and context mapping.

• Conduct code reviews, write documentation, and ensure adherence to coding standards and best practices.

• Troubleshoot issues, identify root causes, and implement solutions to optimize performance and reliability.

• Stay updated on emerging technologies, industry trends, and best practices related to test automation and natural language processing.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

• Proven experience in software development, with a focus on creating test harnesses and prompt template expansion systems.

• Proficiency in Java programming languages.

• Strong understanding of software testing principles, methodologies, and tools.

• Experience with natural language processing (NLP) techniques and frameworks is a plus.

• Familiarity with machine learning concepts and algorithms is desirable.

• Excellent problem-solving skills and attention to detail.

• Effective communication and collaboration abilities.

• Ability to work independently and in a team environment, managing multiple priorities and deadlines effectively.

Learn more about the LexisNexis Risk team and how we work here

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At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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