AI Engineer

Reposted Yesterday
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México
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
The role involves designing scalable generative AI systems, mentoring engineers, and collaborating on architectural decisions in a Kubernetes environment.
Summary Generated by Built In

About the Team:

Working in technology at Elsevier means that your work really does matter – it changes lives. And you’ll see the real-world impact of your day-to-day efforts.

Our technologists have applied new machine learning models to reduce gender biases against women in academia and developed technology to help medical professionals more accurately diagnose conditions that may have otherwise been missed. Whether you’re supporting the business to be more efficient, building better infrastructure to help things run more smoothly, or if you’re part of a team creating products for the customers we serve, there’s always a new challenge you’ll be helping to solve.

About the team:

Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. For more than 140 years, we’ve helped impact makers to advance science and healthcare to advance human progress, and that same mission drives us today.   

If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, join us.  Let’s shape progress together. 

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:

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress. 

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 or please contact 1-855-833-5120.

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Please read our Candidate Privacy Policy.

We are 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.

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Top Skills

Ci/Cd
Cloud-Native Architectures
Huggingface
Java
Kubernetes
Langchain
Python
Vector Databases
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The Company
0 Employees
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care.

Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems.

Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.

We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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