AI Engineer – Anthropic Campus Hire

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the design, development, testing, and deployment of AI-driven solutions for enterprise clients.

• Create, test, maintain, and document AI-enabled applications, workflows, and reusable accelerators.

• Develop generative AI and LLM prototypes and proof-of-concepts utilizing Claude and other model providers, RAG, APIs, and workflow automation tools.

• Support agentic AI solutions using enterprise context, approved tools or APIs, and orchestration of enterprise processes.

• Aid in prompt and context engineering, structured inputs, response formatting, output constraints, structured outputs, tool utilization, and human-in-the-loop patterns.

• Integrate AI functionalities with enterprise platforms, including ServiceNow.

• Write clean, maintainable, secure, and well-documented code.

• Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing.

• Evaluate model and workflow performance based on accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience.

• Create test cases, evaluation datasets, monitoring strategies, and feedback loops.

• Enhance reliability through output validation, source grounding, fallback management, confidence thresholds, and escalation workflows.

• Identify challenges, document findings, and contribute to continuous improvements.

• Implement responsible AI principles and safeguards for sensitive data, access controls, authorized data usage, prompt injection risks, and unsafe tool execution.

• Document solution behavior, limitations, test outcomes, and operational considerations.

• Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams.

• Engage in requirements gathering, solution design, sprint planning, code reviews, and retrospectives.

• Assist client-facing teams with technical research, demonstrations, proof-of-concept development, and implementation activities.

• Contribute to documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions.

• Keep abreast of emerging AI technologies, Anthropic and Claude capabilities, frameworks, and enterprise applications.

• Investigate applications of generative and agentic AI for operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows.

• Propose ideas for AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements.

• Travel to client locations and conferences as necessary.

• Report to the Agentic AI Architect / Senior Forward Deployed AI Engineer.

⛳️ Requirements

• Currently enrolled in or recently graduated from a degree program in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.

• 1–3 years of relevant experience gained through internships, co-ops, research, freelance work, academic projects, or professional roles.

• Proficiency in one or more programming languages, ideally Python, JavaScript/TypeScript, Java, or similar languages.

• Basic understanding of software engineering principles, APIs, databases, source control, and cloud 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.

• Knowledge of Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services.

• Foundational understanding of responsible AI principles, including data privacy, model limitations, human oversight, and safe AI deployment.

• Strong problem-solving abilities, curiosity, attention to detail, and a willingness to learn in a dynamic environment.

• Capability to communicate technical concepts effectively to both technical and non-technical audiences.

• Preferred: experience in developing AI, automation, chatbot, workflow-based, or data-driven projects.

• Preferred: exposure to Claude, Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance.

• Preferred: experience with LLM APIs for conversational AI, document processing, summarization, search, knowledge assistants, or workflow automation.

• Preferred: understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool utilization, or human-in-the-loop workflow design.

• Preferred: familiarity with ServiceNow and related platform and workflow tools.

• Preferred: exposure to AWS, Microsoft Azure, or Google Cloud.

• Preferred: understanding of Model Context Protocol concepts and secure API integration patterns.

• Preferred: experience in an agile software development environment.

• Preferred: interest in enterprise consulting, digital transformation, and addressing real-world business challenges.

🏝️ Benefits

• Mentorship from seasoned professionals in AI, engineering, product management, ServiceNow, and consulting.

• Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations.

• Access to relevant Anthropic training, partner enablement, and technical education opportunities available through NewRocket’s partnership.

• Practical experience in building enterprise-grade generative and agentic AI solutions.

• Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool usage, structured outputs, model evaluation, and responsible AI.

• Experience across the entire lifecycle of AI product and solution development.

• A solid foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development.

• A diverse and inclusive workplace.

• Equal opportunity workplace and affirmative action employer.

• Support for individuals with disabilities in terms of accommodation.