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About the Role

As a Senior Software / Senior AI Engineer, you will be an experienced member of an embedded Innovation Squad, taking on difficult research, design, and software development assignments. You will provide direct input to project plans, schedules, and delivery approach, and perform software design across multiple components. You will work with internal stakeholders and end users to translate their requests into workable solutions, write and review specifications, complete complex bug fixes, and help embed coding best practices. You will also mentor more junior engineers through pair programming and collaboration.

Responsibilities

Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach.
Implement and test tool use, retrieval pipelines, and agent workflows.
Contribute to evaluation, observability and guardrails for agentic systems, identifying operational requirements for logging, instrumentation and alerting.
Instrument solutions to capture outcome data against established baselines.
Integrate AI capabilities into existing enterprise workflows and systems.
Interface with technical peers and team members to finalise requirements and write and review portions of detailed specifications for complex system components.
Translate product requirements into software designs, working alongside host-function stakeholders to ensure the build fits real workflows.
Complete moderately complex bug fixes and flag technical risks and blockers early.
Implement continuous integration, delivery, and deployment practices, and apply coding best practices and code reviews.
Maintain high code quality and documentation, and build solutions for reuse, contributing to patterns, reference implementations, and starter kits.
Operate across various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
Pair-program with squad members, and support handover and capability-building in the host function.
Develop your skills in mentoring less senior engineers on development methodologies and optimisation techniques.
Keep abreast of new technology developments and take on related responsibilities as the squad's needs evolve.

Requirements

4+ Years of software engineering experience, ideally including exposure to AI-enabled or data-intensive systems.
Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions.
Familiarity with building RAG pipelines, tool-augmented agents and agentic workflows; prompt engineering, context management, evaluation and observability.
Understanding of how agents use memory, tools, and retrieval to complete multi-step tasks.
Ability to design across multiple components and translate product requirements into workable software designs.
Ability to write and review portions of detailed specifications for complex system components.
Experience integrating AI into existing systems via APIs and data pipelines.
Experience with AWS, Azure, or GCP.
Experience with CI/CD, modern SDLC, TDD, and code review.
Experience working with relational, columnar, and vector stores, grounded in sound data-modelling principles.
Experience with Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
Developing skills in mentoring engineers through pair programming and day-to-day collaboration.
Clear written and verbal communication with technical peers and stakeholders.
Experience instrumenting solutions to capture usage, productivity, and quality metrics against established baselines.

Skills

AI-enabled systems
Data-intensive systems
Agentic AI
LLMs
RAG pipelines
Tool-augmented agents
Agentic workflows
Prompt engineering
Context management
Evaluation
Observability
Agent fundamentals
Memory
Tools
Retrieval
Software design
Specifications
Enterprise integration
APIs
Data pipelines
AWS
Azure
GCP
CI/CD
Modern SDLC
TDD
Code review
Relational stores
Columnar stores
Vector stores
Data modelling
Python
Java
TypeScript
JavaScript
SQL
AI SDKs
Mentoring
Pair programming
Communication
Measurement
Instrumentation

Location

Work Type

Full-time

Experience Level

Senior
4+ Years

Education Level

BS in Engineering, Computer Science, or equivalent

Benefits

Comprehensive Pension Plan
Generous vacation entitlement and option for sabbatical leave
Maternity, Paternity, Adoption, and Family Care Leave
Personal Choice budget
Internal communities and networks
Various employee discounts
Recruitment introduction reward
Employee Assistance Program (global)
Country specific benefits

About the Company

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.
At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future.
We harness innovative technologies to support science and healthcare to partner for a better world.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company.
Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Equal Opportunity

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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.
USA Job Seekers: EEO Know Your Rights.