Grade-4 Software Engineer

Join the diverse and inclusive Supply Chain team at Cisco's Service Supply Chain IT and play a key role in designing and developing next-generation capabilities using AI and the latest technologies.

As a Grade-4 Software Engineer, you will be responsible for developing and delivering new capabilities, working closely with talented engineers and interacting with valued business partners.

Responsibilities:

• Design and develop next-gen capabilities to drive transformation
• Develop and deliver new high-quality capabilities using Artificial Intelligence tools and capabilities
• Work as a member of a scrum team across the entire software development lifecycle
• Collaborate with other Engineers, Subject Matter Experts, and Architects to build applications and technical systems
• Design, develop, and optimize in-app and role-based AI Agents
• Lead implementation of agentic frameworks to enable robust Ask/Respond capabilities
• Build and maintain advanced Natural Language Interaction (NLI) & Retrieval Augmented Generation (RAG) systems
• Engineer prompt handling and intent recognition for LLMs
• Architect and implement multi-agent protocols and integration
• Identify, prioritize, suggest improvements and execute tasks in the software development life cycle
• Develop tools and applications by producing clean, efficient code utilizing AI capabilities and tools
• Automate tasks through appropriate tools and scripting
• Be hands-on, develop, validate, test, review, debug code & fix vulnerabilities
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software is up-to-date with the latest technologies

Minimum Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or an equivalent technical field
• Minimum of 2 years of industry experience in software engineering or AI development
• Proficiency in Python and backend development (FastAPI/Flask, REST APIs, Pydantic, Pytest)
• Practical experience implementing AI/GenAI solutions in a production or development environment
• Strong familiarity with Agile methodologies, DevSecOps, Git, and JIRA
• Foundational proficiency in software security best practices
• Hands-on experience with LangChain and LangGraph for building autonomous agents
• Expertise in RAG architectures, including vector databases (Qdrant), embeddings, and LLM evaluation techniques
• Familiarity with MCP and A2A multi-agent communication protocols
• Experience with AWS, Docker, Kubernetes, and automated CI/CD pipelines
• Familiarity with the MEAN stack and professional API management tools