AI Engineer – Campus Hire
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Job Description
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.
Responsibilities:
- 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:
- 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:
- 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
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