AI Engineer - Graduate Level

Job not on LinkedIn

🔥 12 hours ago

🇳🇱 Netherlands – Remote

⏰ Full Time

⚪️ Entry-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NewRocket

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

NewRocket is a top global ServiceNow partner, providing a wide range of services and solutions to help enterprise leaders solve complex business problems. They specialize in advisory and transformation services, design and implementation, managed services, and more, focusing on improving customer and employee experiences through the use of the ServiceNow platform. Their solutions include platforms and integrations, security, risk, and resilience, as well as technology excellence. NewRocket serves a variety of industries including education, healthcare, financial services, and the public sector, among others, and is known for their expertise in UI and UX design as well as their ability to enhance workflows and improve business processes efficiently.

📋 Description

• Build, test, maintain, and document AI-enabled applications, workflows, and reusable accelerators • Develop generative AI and LLM prototypes and proof-of-concepts using Claude, RAG, APIs, and workflow automation tools • Support agentic AI solutions using enterprise context, approved tools, APIs, and enterprise-process orchestration • Assist with prompt and context engineering, structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration • Integrate AI capabilities with enterprise platforms, including ServiceNow • Support data preparation, document ingestion, chunking, embedding, retrieval, evaluation, and testing • Assess model and workflow performance for accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience • Implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe tool execution • Document solution behavior, limitations, test results, and operational considerations • Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams • Participate in requirements gathering, solution design, sprint planning, code reviews, and retrospectives • Support client-facing research, demos, proofs-of-concept, and implementation activities • Contribute to documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge sharing • Stay current on emerging AI technologies, Anthropic and Claude capabilities, and enterprise use cases • Research and propose generative and agentic AI applications for enterprise workflows

🎯 Requirements

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline • 1–3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles • Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages • Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications • Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts • Familiarity with context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation • Familiarity with Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services • Foundational understanding of responsible AI, data privacy, model limitations, human oversight, and safe AI deployment • Ability to communicate technical concepts clearly to technical and non-technical stakeholders • Travel to clients and conferences as needed

🏖️ Benefits

• Hands-on experience building enterprise-grade generative and agentic AI solutions • Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI • Experience across the end-to-end lifecycle of AI product and solution development • Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals • Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations • Anthropic training, partner enablement, and technical education opportunities as available • Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodation support