As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.
.
At Ciena’s Blue Planet division, you will join an agile, innovative team advancing the automation of the world’s most complex networks. You will have the opportunity to work with leading-edge AI technologies, cloud-native architecture, and large-scale automation systems that power global communications.
How You Will Contribute
Design and develop AI agents using frameworks like LangChain, LangGraph, Langflow, and MCP Servers.
Fine-tune and optimize large language models (LLMs) such as GPT models, Llama, and others for diverse applications.
Implement Retrieval-Augmented Generation (RAG) techniques and integrate vector databases like Qdrant and ChromaDB.
Enhance AI agent operations with tools like langfuse and litellm, ensuring robust security and guardrails.
Leverage cloud platforms such as AWS, Google Cloud, and Azure for scalable AI solution deployment.
Build and manage databases using Postgres, Neo4j, and Clickhouse for efficient data handling.
Utilize technologies like Apache Airflow, Redis, Mlflow, Minio, Apache Kedro, and PySpark for workflow optimization and data processing.
The Must Haves
A minimum of 6+ years of experience in AI engineering with proficiency in Python.
Expertise in AI frameworks such as LangChain and LangGraph, or similar agentic AI frameworks.
Proven experience in fine-tuning large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) techniques.
Strong knowledge of vector databases and AI agent security protocols.
Familiarity with cloud platforms and database technologies.
Experience with prompt engineering techniques and CI/CD processes.
Background in leveraging tools like Apache Airflow, Redis, Mlflow, Minio, and Apache Kedro.
Nice to Haves
Experience with PySpark for large-scale data processing.
Knowledge of emerging AI frameworks and technologies.
Advanced understanding of AI agent optimization and collaborative systems.
Exposure to cloud-native tools and services for AI deployment.
Familiarity with advanced database architectures and tools.
Interest in contributing to open-source AI initiatives.
Familiarity with Kubernetes and Docker.
Familiarity with data visualization tools such as Plotly, Matplotlib, Grafana, or similar.
Passion for driving innovation in AI technologies.
Professional certifications related to data science or machine learning would be a plus.
#LI-FA
Not ready to apply? Join our
Talent Community
to get relevant job alerts straight to your inbox.
At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.
Ciena is an Equal Opportunity Employer, including disability and protected veteran status.
If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.
