Python/ GenAI Engineer
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Python/ GenAI Engineer

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our AI Innovation Team to build and manage the Generative AI platform for PatentSight+.
  • Company: LexisNexis IP delivers patent content and analytics tools for the intellectual property market.
  • Benefits: Enjoy flexible hours, generous holiday allowance, health benefits, and extensive learning resources.
  • Why this job: Be part of a diverse team driving innovation in AI while making a real impact in tech.
  • Qualifications: Experience with Python, cloud environments, and large-scale platforms is essential.
  • Other info: We promote gender diversity and offer mentoring programs for women in tech.

The predicted salary is between 36000 - 60000 £ per year.

Python Software Engineer – build GenAI capabilities

About the Company:

The LexisNexis Intellectual Property (IP) division (https://www.lexisnexisip.com) provides international patent content and a suite of online and analytic tools that meet the evolving needs of the intellectual property market. We deliver data to support LexisNexis IP search and analytics applications, empowering our customers with actionable insights and metrics for critical business decisions.

Our corporate culture thrives on excellence, innovation, and a strong dedication to our customers, employees, and communities. Working here means joining a vibrant, diverse, and collaborative team where you are free to grow and contribute actively.

About the Role

We are seeking a Python Software Engineer to join our AI Innovation Team, focusing on building and managing the Generative AI platform for PatentSight+. This role involves tackling large-scale engineering challenges in the cloud and leveraging cutting-edge LLMs and toolchains to solve user problems across the board. We\’re after creative, self-motivated individuals with experience in building large-scale platforms, data, and machine learning. You’ll collaborate closely with data scientists, product teams, and stakeholders globally to drive forward innovative solutions.

At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives:

Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.

Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.

Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.

Responsibilities:

  • Design, develop, and maintain high-quality, reliable software solutions to support the Generative AI platform.
  • Collaborate closely with other development teams, data scientists, and subject matter experts to integrate GenAI functionalities into scalable software systems.
  • Ensure all software aligns with security standards and follows SDLC (Software Development Life Cycle) processes.
  • Optimise the platform for large-scale operations while continuing to innovate and incorporate new GenAI capabilities.
  • Implement and fine-tune Generative AI models to address specific user needs, improving performance and reliability.
  • Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.
  • Monitor and enhance software performance to ensure stability and efficiency at scale.
  • Stay updated with advancements in AI and machine learning technologies, applying them to enhance platform features.

Requirements

  • Demonstrate knowledge and hands-on experience with Python and its associated toolchains for software development.
  • Proficient in designing, building, and running large-scale platforms with experience in distributed systems.
  • Expertise in cloud environments (AWS, Azure, or GCP), with proven experience in developing and deploying cloud-native applications.
  • Demonstrate understanding of RESTful API design and implementation.
  • Familiarity with modern programming languages, specifically JavaScript and TypeScript for backend development.
  • Experience with front-end frameworks, particularly React.
  • Experience with MLOps tools and frameworks (e.g., MLflow, Weights & Biases) for seamless machine learning model deployment and monitoring.
  • Prompt Engineering/ Search experience would be a big advantage
  • Understanding with AI/ML technologies, particularly Large Language Models (LLMs).

Nice to Have:

  • Experience with LangChain / LlamaIndex, vector databases (e.g., FAISS), fine-tuning models on domain-specific data.
  • Exposure to patent data or intellectual property markets.
  • Experience with SQL, ETL processes, and data orchestration tools (e.g. Azure Data Factory, Talend).

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days
  • Health screening, eye care vouchers and private medical benefits
  • Wellbeing programs
  • Life assurance
  • Access to a competitive contributory pension scheme
  • Save As You Earn share option scheme
  • Travel Season ticket loan
  • Electric Vehicle Scheme
  • Optional Dental Insurance
  • Maternity, paternity and shared parental leave
  • Employee Assistance Programme
  • Access to emergency care for both the elderly and children
  • RECARES days, giving you time to support the charities and causes that matter to you
  • Access to employee resource groups with dedicated time to volunteer
  • Access to extensive learning and development resources
  • Access to employee discounts scheme via Perks at Work

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

Python/ GenAI Engineer employer: LexisNexis Intellectual Property Solutions

At LexisNexis, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration that empowers our employees to thrive. Our commitment to work-life balance is reflected in our flexible working hours, generous benefits, and extensive learning opportunities, ensuring that you can grow both personally and professionally. Join us in our vibrant community where your contributions are valued, and together, we can drive meaningful advancements in the field of Generative AI.
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Contact Detail:

LexisNexis Intellectual Property Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python/ GenAI Engineer

✨Tip Number 1

Familiarize yourself with the latest advancements in Generative AI and Large Language Models (LLMs). Being able to discuss recent developments and how they can be applied to patent data will show your passion and expertise during interviews.

✨Tip Number 2

Network with professionals in the AI and patent technology sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach when applying.

✨Tip Number 3

Showcase any experience you have with cloud environments like AWS, Azure, or GCP. Be prepared to discuss specific projects where you developed or deployed cloud-native applications, as this is crucial for the role.

✨Tip Number 4

Highlight your familiarity with MLOps tools and frameworks. If you have experience with MLflow or Weights & Biases, make sure to mention it, as this will demonstrate your capability in deploying and monitoring machine learning models effectively.

We think you need these skills to ace Python/ GenAI Engineer

Proficiency in Python and associated toolchains
Experience in building and managing large-scale platforms
Knowledge of distributed systems
Expertise in cloud environments (AWS, Azure, GCP)
Experience in developing and deploying cloud-native applications
Understanding of RESTful API design and implementation
Familiarity with JavaScript and TypeScript for backend development
Experience with front-end frameworks, particularly React
Knowledge of MLOps tools and frameworks (e.g., MLflow, Weights & Biases)
Prompt Engineering/Search experience
Understanding of AI/ML technologies, especially Large Language Models (LLMs)
Experience with LangChain/LlamaIndex and vector databases (e.g., FAISS)
Exposure to patent data or intellectual property markets
Experience with SQL, ETL processes, and data orchestration tools (e.g., Azure Data Factory, Talend)

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Python Software Engineer position. Highlight the key responsibilities and requirements, such as experience with Python, cloud environments, and Generative AI technologies.

Tailor Your CV: Customize your CV to reflect your relevant experience and skills that align with the job. Emphasize your work with large-scale platforms, distributed systems, and any specific projects related to AI or machine learning.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and software development. Mention specific examples of your past work that demonstrate your ability to tackle engineering challenges and collaborate with diverse teams.

Highlight Relevant Projects: Include details about any projects you've worked on that involved Generative AI, cloud infrastructure, or MLOps tools. This will help illustrate your hands-on experience and technical expertise in the field.

How to prepare for a job interview at LexisNexis Intellectual Property Solutions

✨Showcase Your Python Expertise

Make sure to highlight your hands-on experience with Python and its associated toolchains. Be prepared to discuss specific projects where you've built large-scale platforms or worked with distributed systems, as this is crucial for the role.

✨Demonstrate Cloud Proficiency

Since the position involves working with cloud environments like AWS, Azure, or GCP, be ready to share examples of how you've developed and deployed cloud-native applications. Discuss any challenges you faced and how you overcame them.

✨Understand Generative AI and LLMs

Familiarize yourself with Generative AI technologies and Large Language Models (LLMs). Be prepared to discuss how you've implemented or fine-tuned these models in previous roles, as well as your understanding of their applications in solving user problems.

✨Collaborative Mindset

This role requires close collaboration with data scientists and product teams. Share experiences that demonstrate your ability to work effectively in a team setting, especially in integrating GenAI functionalities into scalable software systems.

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