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About the Role
As a Senior AI Engineer, you will build and ship AI-powered features as part of a cross-functional Innovation Squad, working inside a business function. You will deliver the technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines, and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability, and guardrails. You will hold a high bar on code quality, flag risks and blockers early, and work alongside host-function stakeholders to make sure what you build fits real workflows. You'll also support handover and capability-building so the solution is owned and operable after the squad moves on.
Responsibilities
- Build prototypes and proofs of concept and ship agentic AI solutions to production standards within a defined technical approach.
- Implement and 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 so patterns can be reused.
- Flag technical risks and blockers early.
- Interface with technical peers to finalise requirements and complete moderately complex bug fixes.
- Build solutions for reuse, contributing to patterns, reference implementations and starter kits so work done in one function can be picked up by another.
- Instrument solutions to capture outcome data against baselines.
- Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones.
- Support handover and capability-building in the host function so the solution is owned and operable after the squad moves on.
- Keep abreast of new technology developments.
- Take on related responsibilities as the squad's needs evolve.
Requirements
- 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows).
- BS in Engineering, Computer Science, or equivalent.
- 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.
- 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.
- Proficiency in Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.
- Clear written and verbal communication with technical peers and stakeholders.
- Experience instrumenting solutions to capture usage, productivity and quality metrics against established baselines.
Skills
- LLM-powered applications
- RAG
- Tool-augmented agents
- Agentic workflows
- Prompt engineering
- Context management
- Evaluation
- Observability
- Agent fundamentals
- Enterprise integration
- API integration
- Data pipelines
- AWS
- Azure
- GCP
- CI/CD
- SDLC
- TDD
- Code review
- Relational stores
- Columnar stores
- Vector stores
- Data modelling
- Python
- Java
- TypeScript
- JavaScript
- SQL
- AI SDKs
- Communication
- Measurement
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
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)
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.
Equal Opportunity
- 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.
- 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.