AI Engineer

Responsibilities

• Build and ship agentic AI solutions, prototypes, and proofs of concept to production standard.
• Implement and test tool use, retrieval pipelines (RAG), and agentic workflows.
• Integrate AI capabilities into existing enterprise systems and workflows via APIs and data pipelines.
• Contribute to the evaluation, observability, and guardrails of agentic systems.
• Maintain high code quality and documentation to ensure patterns and solutions are reusable across functions.
• Work alongside stakeholders to ensure technical builds align with real-world user workflows.
• Instrument solutions to capture outcome data, usage, and quality metrics against established baselines.

Requirements

• 3+ years of software engineering experience with hands-on experience building LLM-powered applications in production.
• Proven knowledge of RAG, tool-augmented agents, and agentic workflows.
• Proficiency in Python, Java, TypeScript/JavaScript, and SQL.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with modern SDLC, including CI/CD, TDD, and code reviews.
• Familiarity with relational, columnar, and vector stores.
• BS in Engineering, Computer Science, or an equivalent degree.

Preferred Qualifications

• Experience with prompt engineering, context management, and AI observability tools.
• Ability to work autonomously in short, time-boxed cycles to deliver validated outcomes.

Benefits

• Flexible working hours to support productivity and work-life balance.
• Comprehensive pension plan.
• Generous vacation entitlement and sabbatical leave options.
• Maternity, paternity, adoption, and family care leave.
• Personal choice budget and various employee discounts.
• Global Employee Assistance Program.

About the Company

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. By combining high-quality content with powerful analytics, we transform complexity into clarity to support visionary science, research, and clinical practice.