Ciena

Senior AI Engineer

Ciena

full-time

Posted on:

Location Type: Hybrid

Location: Gurugram • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCloudNeo4jPostgresPySparkPythonRedis

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonAI frameworksfine-tuning large language modelsRetrieval-Augmented Generationvector databasesprompt engineeringCI/CD processes
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