C

Cisco

Makes networking gear and security software

CX Machine Learning Engineer

Natural Language Processing & LLMsUpdated on Nov 9
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A bachelor's degree with 7 or more years of related experience, or a master's degree with 4 or more years of related experience.
  • Programming experience using Python and/or Java, including designing, developing, testing, and deploying production-grade software applications, APIs, and/or distributed services.
  • Experience developing, training, evaluating, and deploying machine learning models using PyTorch, TensorFlow, scikit-learn, XGBoost, or equivalent technologies.
  • Generative AI and large language model development experience, including building applications with large language models, retrieval-augmented generation, embeddings and vector databases, prompt engineering, AI agents, and/or large language model evaluation and observability tools such as LangChain/LangGraph, LangSmith, OpenAI or Anthropic/Claude APIs, or equivalent technologies.
  • Experience building data pipelines and data-intensive applications using technologies such as SQL, Spark, Kafka, ETL/ELT frameworks, cloud data platforms, or equivalent data engineering technologies.

Responsibilities

  • Architect, build, and scale enterprise-grade AI/ML and Generative AI solutions, including predictive models, retrieval-augmented generation architectures, and autonomous agentic workflows, for Cisco IQ and the Customer Experience platform.
  • Own robust data pipelines, low-latency model serving, and LLMOps infrastructure across the machine learning lifecycle.
  • Establish automated evaluation and observability frameworks to ensure accurate and reliable performance at scale.
  • Partner with product managers, data scientists, and software engineering teams to translate business needs into secure, production-ready capabilities.
  • Drive technical excellence, responsible AI governance, and measurable customer outcomes.

Desired Qualifications

  • Hands-on experience designing and building Generative AI and agentic AI applications, including retrieval-augmented generation, multi-agent workflows, tool/function calling, prompt engineering, embeddings, vector databases, and context management using LangChain, LangGraph, or equivalent technologies.
  • Experience with LLMOps/MLOps and AI evaluation/observability, including LangSmith, MLflow, model monitoring, automated evaluation frameworks, and techniques for measuring model quality, accuracy, latency, reliability, and cost.
  • Experience building and deploying cloud-native AI/ML applications and data platforms using AWS or Google Cloud, together with Docker, Kubernetes, REST APIs, microservices, CI/CD, and modern data processing frameworks.
  • Proficiency with AI-assisted software engineering tools such as GitHub Copilot, Claude/Claude Code, Cursor, or similar tools for development, testing, debugging, code reviews, and engineering productivity.
  • Ability to independently own complex technical problems, collaborate across engineering, product, architecture, and data science teams, communicate technical concepts effectively, and mentor other engineers while delivering production solutions.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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