Software Engineer - Full Stack Engineer (AI)

The Economist Group: where people drive progress

Come and Join us
The Economist Group is a global media and information services company committed to championing progress. We equip individuals and organisations with expertise, insights, and perspectives to navigate change and drive growth. The Economist Intelligence(EI) is a global leader in business intelligence, helping businesses, financial institutions, and governments understand global trends, seize opportunities, and manage risks. At its core is a 50-year forward outlook—a global forecast of the world’s economies, enabling clients to make informed trading, investment, and policy decisions.
We are evolving by integrating innovative data sources like geospatial data into our forecasts and tailoring products to individual client needs. A dynamic team of Product Managers, Customer Experience specialists, and Product Engineers focuses on delivering customer and business value through real-time analytics and traditional offerings. Our technology stack features modern tools such as Cloud technologies(AWS/Azure/GCP), CDN(Cloudflare) and Monitoring (NewRelic), with programming in .NET, JavaScript, and Python. We embrace automated testing, DevOps culture, observability, and infrastructure-as-code. Collaboration is central to our approach—our engineers continuously learn, share skills, and often pair or mob on tasks to foster innovation and excellence.
Your primary focus will be to integrate, deploy and maintain AI/ML endpoints developed with other internal teams, external providers, design, develop, deploy, and maintain them into our core infrastructure to power our AI-driven products and services and integrate them into with our platform. You’ll play a key role in ensuring the scalability, reliability, and performance of our AI platform. In this role, you’ll collaborate closely with our talented team, where your expertise in cloud infrastructure, API development, and AI/ML integration will be highly valued. Your insights into platform architecture and the latest advancements in AI technologies will help shape the future of our AI capabilities. The role will suit either an existing senior or a mid-level native Web Fullstack Engineer ready for their next challenge but with at least some experience mentoring a high-performing team. You should enjoy working with autonomy in a creative and entrepreneurial environment and have a strong commitment to producing high-quality code. We offer flexible working and have recently shifted to a 'remote first' working policy with a minimum expectation of coming to the office two days a month, however, you can come in more often if you wish to.
What are we looking for? 4+ years of professional experience in backend development with proficiency in some of the following programming languages: C#, Go, Python, Javascript/Typescript, ReactJS. 1-year hands-on AI/MLOps Engineering experience or proven track record (personal GitHub projects etc) of active interest in this field. Professional experience with AWS and its various services, including building and deploying applications in a cloud environment.. Experience with API development, including building and maintaining API gateways as a service to other engineers. Understanding of RAG (Retrieval-Augmented Generation) concepts and experience in applying them to AI/ML applications and some of the common challenges of running such applications at scale in production Experience with Infrastructure as Code (IaC) frameworks such as CDK and Terraform Experience with version control systems, preferably Github and Proficiency in building automated CI/CD pipelines and deploying them into AWS. Experience in building containerized and FaaS services to enhance scalability and efficiency Deep understanding of scalable web infrastructure, including API gateways, load balancers, WAFs, and CDNs You value well-thought-out and straightforward solutions to complex problems. Excellent verbal and written communication skills to effectively collaborate with cross-functional teams. Demonstrated strong ownership of your work with a proactive, scrappy, and action-biased approach. Expertise in problem-solving and analysing global-scale distributed systems. Understanding of web protocols such as HTTP/HTTPS, and API concepts like REST and GraphQL. And understanding of security protocols and authentication mechanisms. Capable of technical deep-dives into code and architecture, contributing to the code base as and when required. Proficiency in algorithms, data structures, complexity analysis and software design. Good to have an understanding of designing and implementing scalable APIs adhering to standard specifications, enabling parallel development across teams and services. Expert in Agile development methodologies and Effective communication skills.
How you will contribute: Take technical responsibility for all stages in the software development life cycle. Take ownership of your code in production, including creating and managing observability, alerts and FinOps dashboards. Work with our Enablement, InfoSec and Support teams to ensure your code is secure, well-documented and supportable. Work closely with our stakeholders (the other engineering teams) to ensure their needs are met and that they are educated and informed as to what services we have made available. Write maintainable, scalable, high-performance code. Configure and deploy open-source products to support our custom solutions. Our culture We all play a part in building our culture. Whether it's through welcoming new colleagues, team-building activities, joining colleague events, celebrations or affinity groups, there’s an opportunity for you to get involved. Continuous development is central to our working culture, and we encourage teams to pair up or mob on tasks. From our 10% a week learning time policy to our learning and development platform, Degreed, with unlimited access to Udemy courses, as well as a host of other world-class content providers - there are many ways to develop your skills and career with us.
The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age or marital status.
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