Senior AI Engineer for Production-Grade LLMs

RX Brasil; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Pension Plan

Generous vacation & sabbatical

Parental leave

Personal Choice budget

Internal communities and networks

Employee discounts

Recruitment introduction reward

Employee Assistance Program (global)

Job summary

Elsevier is seeking a Senior AI Engineer to design and ship AI-powered features inside cross-functional Innovation Squads. The role focuses on production-grade AI systems, retrieval pipelines, agent workflows, and enterprise integration, with emphasis on observability and guardrails.

You will collaborate with host-function stakeholders, mentor capability-building, and ensure solutions fit real workflows, not assumptions. Strong CI/CD and data modeling skills are valued.

Qualifications

• 3+ years of software engineering experience building production ML/AI applications.
• BS in Engineering, Computer Science, or equivalent.
• Autonomous in delivering within defined problems and short cycles.
• Experience with LLMs, retrieval, and observability.

Responsibilities

• Build prototypes and ship AI-powered features per defined technical approach.
• Test tool use, retrieval pipelines, and agent workflows.
• Contribute to evaluation, observability, and guardrails for agentic systems.
• Integrate AI capabilities into existing enterprise workflows and systems.
• Maintain high code quality and documentation for reuse.

Skills

LLM-powered applications

RAG pipelines

Tool-augmented agents

Agentic workflows

Python

TypeScript/JavaScript

SQL

Cloud (AWS/Azure/GCP)

Education

BS in Engineering or Computer Science

Tools

LLM SDKs

API integration

CI/CD tooling

Job description

Elsevier is seeking a Senior AI Engineer to design and ship AI-powered features inside cross-functional Innovation Squads. The role focuses on production-grade AI systems, retrieval pipelines, agent workflows, and enterprise integration, with emphasis on observability and guardrails.

You will collaborate with host-function stakeholders, mentor capability-building, and ensure solutions fit real workflows, not assumptions. Strong CI/CD and data modeling skills are valued.