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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 within the squad's product area. You will provide direct input to project plans, schedules and delivery approach, and perform software design across multiple components as we turn AI experimentation into validated, reusable solutions. You will work with others to talk to internal stakeholders and end users in the host function, translating their requests into workable solutions. You will write and review specifications, complete complex bug fixes, and help embed coding best practices and code reviews. You are also developing your skills as a mentor, supporting the growth of more junior engineers through pair programming and everyday 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, not assumed ones.
- 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 so work done in one function can be picked up by another.
- 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 so solutions are owned and operable after the squad moves on.
- 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.
- 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.
- Building RAG pipelines, tool-augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability.
- Understands how agents use memory, tools, and retrieval to complete multi-step tasks.
- Able to design across multiple components and translate product requirements into workable software designs, not just implement a defined spec.
- Able to write and review portions of detailed specifications for complex system components.
- Integrating AI into existing systems via APIs and data pipelines.
- AWS, Azure, or GCP.
- CI/CD, modern SDLC, TDD, and code review.
- Working with relational, columnar, and vector stores, grounded in sound data-modelling principles.
- 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.
- Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines.
Skills
- AI
- Software Development
- RAG pipelines
- Tool-augmented agents
- Agentic workflows
- Prompt engineering
- Context management
- Evaluation
- Observability
- Agent fundamentals
- Software design
- API integration
- Data pipelines
- AWS
- Azure
- GCP
- CI/CD
- SDLC
- TDD
- Code review
- Data modelling
- Python
- Java
- TypeScript
- JavaScript
- SQL
- AI SDKs
- Mentoring
- Communication
- Measurement
Location
- USA
Work Type
- Full-time
Experience Level
- Senior
- 4+ Years
Education Level
- BS in Engineering
- BS in Computer Science
- Equivalent
Benefits
- Comprehensive Pension Plan
- Generous vacation entitlement
- Option for sabbatical leave
- Maternity Leave
- Paternity Leave
- Adoption Leave
- 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.