Software Engineer / AI Engineer

Reposted 25 Days Ago
Wall, NJ, USA
In-Office
Mid level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
Build, test, and ship LLM-powered, agentic AI solutions (RAG, tool-augmented agents) into enterprise workflows. Implement retrieval pipelines, observability, guardrails, CI/CD, and instrumentation; collaborate with stakeholders and deliver reusable patterns and handovers.
Summary Generated by Built In

                                                Software Engineer /AI Engineer

Are you excited about building intelligent systems powered by innovative AI technologies?
Do you enjoy creating solutions that turn complex data into impactful outcomes?

                        

About the team:

Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster.

About the role: 

As a Software Engineer / 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 set 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, not assumed ones. You'll also support handover and capability-building so the solution is owned and operable after the squad moves on.

Key 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.

  • 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:

  • Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents or agentic workflows).

  • Education: BS in Engineering, Computer Science, or equivalent.

  • Ways of working: 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.

  • Agentic AI / LLMs: Building RAG pipelines, tool-augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability.

  • Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi-step tasks.

  • Enterprise integration: Integrating AI into existing systems via APIs and data pipelines.

  • Cloud: AWS, Azure, or GCP.

  • Delivery: CI/CD, modern SDLC, TDD, and code review.

  • Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles.

  • Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.

  • Communication: Clear written and verbal communication with technical peers and stakeholders.

  • Measurement: Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines.

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you
 

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • 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 business-

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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.

Skills Required

  • 3+ years software engineering experience building LLM-powered applications in production (RAG, tool-augmented agents or agentic workflows).
  • BS in Engineering, Computer Science, or equivalent.
  • Experience building RAG pipelines, tool-augmented agents, agentic workflows, prompt engineering, context management, evaluation, and observability.
  • Understanding of agent fundamentals: memory, tools, and retrieval for multi-step tasks.
  • Experience integrating AI into enterprise systems via APIs and data pipelines.
  • Cloud experience (AWS, Azure, or GCP).
  • Familiarity with CI/CD, modern SDLC, TDD, and code review practices.
  • Working with relational, columnar and vector stores; sound data-modeling principles.
  • Proficiency in Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.
  • Clear written and verbal communication with technical peers and stakeholders.
  • Ability to instrument solutions to capture usage, productivity, and quality metrics against baselines.
  • Comfort working autonomously within a defined problem and delivering in short, time-boxed cycles.

Elsevier Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.

  • Leave & Time Off Breadth Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
  • Healthcare Strength Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
  • Retirement Support Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.

Elsevier Insights

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The Company
HQ: Amsterdam
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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