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← NewRocket

AI Engineer/Anthropic-Campus Hire - US West

NewRocket
Location
USA - 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. This role involves working with AI engineers and product managers to create prototypes and proof-of-concepts using generative AI and other technologies, while also gaining exposure to the full AI solution lifecycle. You will collaborate with cross-functional teams to translate business needs into technical solutions and contribute to the development of responsible AI practices.

Things to weigh
  • No salary listed
  • Role is remote but may require travel to clients and conferences as needed
  • Focus on early-career candidates may limit opportunities for more experienced professionals
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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