AI Engineer

About the Role

We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will design and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to architectural decisions, mentor other engineers, and help evolve our engineering practices

Responsibilities :

Design, develop, and maintain generative AI services and reusable components using Python and Java.

Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.

Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.

Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.

Build and optimize CI / CD pipelines and implement test-driven development practices.

Lead the resolution of complex technical challenges across distributed systems.

Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.

Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.

Stay informed of the latest developments in generative AI, and advocate for responsible integration into product ecosystems.

Requirements :

5+ years of software engineering experience.

Deep expertise in Python and Java.

Strong experience with Kubernetes (EKS) and cloud-native architectures.

Proven track record building scalable backend systems and APIs.

Familiarity with foundational GenAI tools (e.g., HuggingFace, LangChain, vector databases, prompt engineering).

Solid understanding of software development methodologies and data modeling principles.

Experience mentoring engineers and contributing to architectural decisions.

Ability to work collaboratively across functions in an Agile or Kanban environment.

Experience operationalizing LLMs or building internal AI platforms is a plus.

Familiarity with observability practices (metrics, logging, alerts) is a plus.

Exposure to knowledge graphs or semantic search systems is desirable.

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.

This is a hybrid role. Our teams operate in a flexible hybrid work model, combining in-person collaboration with remote flexibility. You’ll be expected to participate in regular team meetings and engineering rituals in line with your team’s cadence.

Working for you :

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

• Private Medical / Dental Plan
• Savings Fund
• Life Insurance
• Meal / Grocery Voucher"

About the business :

At Elsevier, you’ll work on systems that underpin some of the world’s most critical research and innovation workflows. Our products and platforms are used by scientists, clinicians, and experts in over 180 countries — and you’ll be part of the team responsible for building the data infrastructure that powers them.

You’ll be supported by a culture that values engineering quality, autonomy, and deep technical exploration. We are actively transforming legacy systems and pioneering modern approaches to data and knowledge representation at scale.

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 or please contact 1-855-833-5120.

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