We are seeking an experienced and skilled Principal Engineer to join our cross functional team of data scientists and software engineers. In this role, you will be responsible for designing, developing, and maintaining high-quality software applications using Python as the primary programming language.   

Responsibilities:   

- Collaborate with and provide technical direction to cross-functional teams to understand business requirements and translate them into robust and scalable software solutions. 

- Design and implement complex, fault-tolerant software systems, following best practices in software architecture, coding standards, and design patterns.   

- Develop and maintain Python-based applications, libraries, and microservices using modern frameworks and tools.   

- Participate in code reviews, ensuring code quality, maintainability, and adherence to coding standards.   

- Mentor and guide junior developers and data scientists, fostering a culture of continuous learning and knowledge sharing.   

- Contribute to the development and implementation of automated testing strategies, ensuring high code quality and reliability. 

- Stay up-to-date with the latest trends, technologies, and best practices in the Python ecosystem and software engineering. 

- Represent the engineering team in technical discussions and decision-making processes.   

Requirements:   

- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.   

- Minimum of 8 years of experience in software development, with a strong emphasis on Python programming.   

- Extensive experience with Python web frameworks such as Django, Flask, or FastAPI, and their ecosystems. 

- Deep understanding of software architecture principles, design patterns, and distributed systems. 

- Familiarity with retrieval-augmented generation (RAG) pipelines and their implementation in scalable software systems. 
- Proficiency in relational and non-relational databases, and ORM frameworks like SQLAlchemy. 

- Expertise in containerization technologies like Docker and orchestration tools like Kubernetes. 

- Proven experience with cloud platforms (e.g., AWS, Azure, or GCP) and their services. 

- Mastery of version control systems, preferably Git, and continuous integration/continuous deployment (CI/CD) practices. 
- Strong leadership, communication, and collaboration skills. 
- Ability to mentor and develop junior and senior engineers. 
- Passion for writing clean, maintainable, and well-documented code. 

Preferred Qualifications:   

- Experience with data analysis libraries like Pandas and NumPy.   

- Knowledge of asynchronous programming and event-driven architectures.   

- Proficiency with microservices architecture and RESTful API design.   

- Experience with agile software development methodologies and lean practices 

- Proficiency in integrating LangChain or similar frameworks to build modular AI workflows and applications. 

- Experience in developing prompt-based APIs and chaining tools for task-specific generative AI solutions. 

- Hands-on experience with building conversational agents, including integrating chat models with third-party APIs and custom backends. 

If you are a talented and driven Senior Software Engineer with a passion for Python and a commitment to delivering high-quality software solutions, we encourage you to apply for this exciting opportunity 

LexisNexis, a division of RELX, is 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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