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4 Weeks ago

Senior - AI Engineer

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Bangalore, Karnataka, India
Information Technology
Full-Time
Antal TECH jobs

Overview

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.
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