Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- Senior AI Engineer designing and developing AI agents using advanced technologies at Ciena. Contributing to the automation of complex networks with leading-edge AI systems in a flexible work environment.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- flexible work environment
- empowering individual growth
- well-being and belonging
Job title
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Not specified
Degree requirement
Tech skills
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