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← NewRocket

AI Engineer-Anthropic-University/Graduate Level - UK

NewRocket
Location
UK - Remote
Posted
25 days ago
Department
Agentic AI
What they actually want (must-haves)
  • 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 LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation
Nice to have
  • Experience building AI, automation, chatbot, workflow-based, or data-driven projects through coursework, research, internships, hackathons, or personal projects
  • Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance
  • Experience using LLM APIs to build conversational AI, document-processing, summarization, search, knowledge-assistant, or workflow-automation applications
  • Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human-in-the-loop workflow design
  • Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer
What the job really is

As an AI Engineer at NewRocket, you will support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients. Your role will involve collaborating with various teams to create practical applications of AI, including generative AI and workflows, while gaining exposure to the full AI solution lifecycle. You will also assist in building prototypes, integrating AI capabilities with enterprise platforms, and applying responsible AI principles throughout the development process.

Things to weigh
  • No salary listed
  • Role involves travel to clients and conferences as needed
  • Position is remote, but may require in-person collaboration or travel
  • Experience level is early-career, which may limit responsibilities and growth opportunities compared to more senior roles
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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