Meet the Team
Join Cisco's Global Supply Chain Product Operations team, where innovation meets intelligent automation. Our team is transforming enterprise operations by leveraging Agentic AI, Generative AI, and cloud-native technologies to solve complex business challenges and drive operational excellence across Cisco's global supply chain.
As part of this team, you'll collaborate with AI engineers, software developers, product managers, and business stakeholders to build next-generation AI-powered solutions that redefine enterprise workflows.
Your Impact
As an Agentic AI Developer, you will design, develop, and deploy intelligent AI agents that automate complex enterprise workflows using the latest Agentic AI frameworks and Large Language Models (LLMs).
You will:
- Design and develop Agentic AI solutions using LangChain, LangGraph, and modern orchestration frameworks.
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and enterprise knowledge sources.
- Develop multi-agent workflows with tool calling, reasoning, and orchestration capabilities.
- Integrate AI agents with enterprise applications using Model Context Protocol (MCP) and Google Agent-to-Agent (A2A) standards.
- Build scalable backend services using Python and FastAPI.
- Develop AI-powered applications leveraging GPT, Claude, and open-source LLMs.
- Integrate data from enterprise platforms including Snowflake and other cloud data warehouses.
- Deploy AI applications using Docker, Kubernetes/OpenShift, and cloud-native infrastructure.
- Partner with cross-functional teams to translate business problems into scalable AI solutions.
- Drive continuous innovation through prompt engineering, automation, and AI best practices.
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 6+ years of experience in Python development and AI/ML application development.
- Strong hands-on experience with:
- Python
- LangChain
- LangGraph
- FastAPI
- SQL
- Experience building RAG pipelines, embeddings, and vector database solutions.
- Strong understanding of Large Language Models (LLMs) including GPT, Claude, or open-source models.
- Experience with Docker, Kubernetes/OpenShift, and CI/CD pipelines.
- Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
- Experience with Agentic AI architectures, multi-agent systems, and AI orchestration frameworks.
- Knowledge of Model Context Protocol (MCP) and Google Agent-to-Agent (A2A) standards.
- Experience with Snowflake and enterprise data platforms.
- Familiarity with Hugging Face Transformers, NLP, fine-tuning, and custom chatbot development.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Hands-on experience with pandas, NumPy, and visualization tools such as Streamlit or Tableau.
- Exposure to Angular or full-stack application development.
- Passion for innovation, continuous learning, and applying AI to solve real-world business challenges.
This version follows Cisco's latest job description style while emphasizing Agentic AI, LLMs, RAG, Python, and enterprise AI engineering, making it attractive to experienced AI developers.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.