[Hiring] Summer Intern / Co-op – Software Developer (Agentic AI) @Ciena

Role Description

This role involves collaborating with the software development team to design and prototype agentic AI-based solutions.

• Implement autonomous agent behaviors for workflow automation, decision support, and network optimization.
• Leverage frameworks and tools for agent orchestration, reasoning, and multi-agent collaboration.
• Integrate AI agents with APIs, data pipelines, and backend systems.
• Conduct experiments and performance evaluations of AI-driven workflows.
• Document designs, test results, and technical findings to share with the team.
• Participate in Agile/Scrum ceremonies and collaborate using modern DevOps tools.

Qualifications

• Current enrollment in a Bachelor’s or Master’s program in Computer Science, Software Engineering, Artificial Intelligence, or related field.
• Strong programming skills in Python, JavaScript/TypeScript, or similar languages.
• Understanding of AI fundamentals, including LLMs, planning algorithms, and reinforcement learning.
• Hands-on experience with agentic AI concepts, such as autonomous agents, tool use, memory management, or multi-step reasoning.
• Familiarity with frameworks like LangChain, OpenAI API, Hugging Face Transformers, or similar.
• Familiarity with Model Context Protocol (MCP) Servers and Concepts.
• Experience working with APIs, JSON data formats, and RESTful services.

Requirements

• Knowledge of networking concepts, distributed systems, or cloud-native architectures.
• Experience using vector databases, knowledge graphs, or retrieval-augmented generation (RAG).
• Familiarity with containerization and microservices, such as Docker and Kubernetes.
• Contributions to AI/ML open-source projects or relevant academic research.

Benefits

• Access to the Employee Assistance Program (EAP).
• Company-paid holidays.
• Paid sick leave.
• Vacation pay as required by applicable laws.

Pay Range

The pay range for this position is $25.00 - $34.00. Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business.