AI Engineer – Campus Hire

NewRocket

Early-career AI Engineer building Claude-powered, agentic AI and RAG solutions for NewRocket, an AI-first ServiceNow partner. Supporting enterprise automation, evaluation, and deployment.

Posted 9/10/2026full-timeRemote • 🇺🇸 United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining AI-enabled applications and workflows, with a strong foundation in programming languages such as Python and JavaScript. Proficient in generative AI, prompt engineering, and model evaluation, while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Generative AI DevelopmentPrompt EngineeringPython ProgrammingAPI IntegrationModel Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptJavaAPIsMachine LearningData ScienceSoftware EngineeringModel EvaluationWorkflow AutomationDocument Ingestion

Soft Skills

Problem-SolvingAttention to DetailCuriosityCommunication

Tools & Technologies

ServiceNowGitREST APIsSQLDockerClaudeLangChainLangGraphLlamaIndexCloud AI Services

Industry Keywords

AI-Enabled ApplicationsGenerative AILLMsResponsible AIData PrivacyHuman OversightEnterprise Process OrchestrationFeedback LoopsEvaluation DatasetsClient-Facing Technical Research

Tech Stack

Tools & technologies

CloudDockerJavaJavaScriptPythonServiceNowSQLTypeScript

About the role

Key responsibilities & impact

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
Apply 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
Write clean, secure, maintainable, and documented code
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
Develop test cases, evaluation datasets, monitoring approaches, feedback loops, safeguards, and escalation workflows
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 technical research, demos, proofs-of-concept, and implementation activities
Contribute to documentation, playbooks, reusable components, prompt libraries, evaluation assets, and knowledge sharing
Stay current on AI technologies, Claude capabilities, enterprise use cases, and responsible AI practices
Report to the Agentic AI Architect / Senior Forward Deployed AI Engineer

Requirements

What you’ll need

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 concepts, data privacy, model limitations, human oversight, and safe AI deployment
Ability to communicate technical concepts clearly to technical and non-technical stakeholders
Strong problem-solving skills, curiosity, attention to detail, and willingness to learn
Travel availability for 70% travel and client/conference travel as needed

Benefits

Comp & perks

Diverse and inclusive workplace
Equal opportunity workplace and affirmative action employer
Employment opportunity regardless of protected characteristics
Disability accommodations available upon request
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
Hands-on experience building enterprise-grade generative and agentic AI solutions
Exposure to Anthropic-aligned AI practices and technical education opportunities
Experience across the end-to-end AI product and solution development lifecycle