Title - AI Software engineer
You will be part of a global advanced analytics and AI innovation hub and work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale work in artificial intelligence and machine learning.
We hire engineers into multiple product teams (e.g. agentic AI systems, digital twins, advanced analytics platforms). Team placement will depend on your skills and interests.
Our teams are responsible for designing products that explain complex data landscapes and insights to users, building frameworks and libraries that enable Data Scientists, Data Engineers, and Machine Learning Engineers to work effectively on large-scale, complex projects—including open-sourcing some of these frameworks—and developing innovative, industry-specific AI/ML solutions that embed a distinctive technical approach and business knowledge for enterprise clients.
As a Software Engineer II, you will collaborate with interdisciplinary teams to design and deliver innovative solutions. You’ll continuously enhance your skills, address user needs, and contribute to building impactful, high-quality products that drive real-world outcomes.
In this role, you will take initiative in your learning and development. You will actively seek opportunities to grow by participating in training, conferences, and hands-on projects. With a growing understanding of the investment and return of solutions, you will help create reusable components that accelerate product development across infrastructure, platforms, and services.
Your work will have a real-world impact by driving innovation and delivering scalable solutions. By collaborating with diverse teams, you will contribute to a shift toward asset-based consulting, helping to create high-value tools that address critical client needs and shape industry-leading outcomes.
You will join our London or Madrid office and collaborate within cross-functional teams to create and develop innovative tools and products by managing workstreams, engaging in discussions, and crafting technical solutions tailored to user needs. Your responsibilities will include working collaboratively in Agile teams through code reviews, pair programming, and iterative delivery, where you will deliver well-structured, production-quality code, own small–medium features end-to-end, participate in design discussions with senior engineers, write tests, document code, maintain high reliability, and engage in code reviews while contributing to team best practices.
This role offers an exceptional opportunity to grow as a technologist and leader. With a global network, leadership development resources, and exposure to cutting-edge challenges, you will expand your expertise, collaborate with strong teams, and play a key role in advancing technology innovation.
YOUR QUALIFICATIONS AND SKILLS
- Degree in computer science or related field, or equivalent practical experience
- 4+ years of relevant experience
- Experience building production-grade applications in at least one part of the stack (backend, frontend, infra), with willingness to learn others as needed
- Ability to deliver features independently, participate in design discussions, and collaborate with senior engineers on system architecture
- Experience pair programming collaboratively with other developers
- Exposure to or interest in working with modern AI systems (LLMs, agent frameworks, cloud deployment). ML experience is a plus but not required
- Nice to have: Experience with cloud deployment (Azure/AWS/Google Cloud Platform), containerization (Docker), frontend frameworks (React), CI/CD environments, and interest in agentic systems, LLMs, or workflow automation
- Demonstrated experience working collaboratively with both technical and non-technical stakeholders
- Familiarity with technologies such as Python, TypeScript/JavaScript, React, Node, Flask, SQL, cloud infrastructure, and CI/CD
- Exceptional time management to meet responsibilities in a complex and autonomous work environment
- Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adapt to different audience
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