AI Engineer, Graduate Level

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

📋 Description

• Design, develop, test, maintain, and document applications, workflows, and reusable accelerators powered by AI.

• Create prototypes and proof-of-concepts for generative AI and LLMs utilizing Claude, RAG, APIs, and workflow automation tools.

• Provide support for agentic AI solutions, leveraging enterprise context, approved tools/APIs, and orchestrating workflows.

• Aid in prompt and context engineering, structured outputs, function calling, human-in-the-loop review, and workflow orchestration.

• Integrate AI capabilities with enterprise platforms such as ServiceNow.

• Prepare data and documents, including ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing.

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

• Create test cases, evaluation datasets, monitoring strategies, feedback loops, validation processes, fallback handling, and escalation workflows.

• Implement responsible AI principles and safeguards regarding sensitive data, access controls, prompt injection, and unsafe tool execution.

• 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 with client-facing technical research, demonstrations, proof-of-concepts, and implementation tasks.

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

• Keep updated on AI technologies, Anthropic and Claude capabilities, and enterprise use cases.

• Research and suggest generative and agentic AI applications for enterprise workflows.

⛳️ Requirements

• Currently pursuing or have recently completed a degree 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 projects, academic endeavors, or professional roles.

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

• Basic understanding of software engineering principles, 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 usage/function calling, structured outputs, and model evaluation.

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

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

• Ability to articulate technical concepts effectively to both technical and non-technical audiences.

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

• Preferred: Experience with Claude, Anthropic API, Anthropic Console, Anthropic Academy, ServiceNow, AWS, Microsoft Azure, Google Cloud, MCP, or agile software development methodologies.

🏝️ Benefits

• A diverse and inclusive workplace.

• An equal opportunity employer and affirmative action workplace.

• Disability accommodations available upon request.

• 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.

• Hands-on experience in developing enterprise-grade generative and agentic AI solutions.

• Exposure to Anthropic-aligned practices and technical education opportunities.

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