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1. Software Engineer (PAN India)

Responsibility

• Assist development and operations teams in building, automating, and improving software delivery processes.
• Learn and contribute to CI/CD pipelines that support reliable deployment from development to production.
• Help monitor application and infrastructure health using observability and monitoring tools.
• Participate in troubleshooting issues across applications, platforms, and cloud environments.
• Work with engineering teams to improve deployment, testing, automation, and operational workflows.
• Learn best practices for cloud security, reliability, scalability, and incident response.
• Contribute to scripts, tools, and automation that improve engineering productivity.
• Collaborate with developers, DevOps engineers, and system administrators to support production services.
• Continuously learn new technologies, tools, and practices in cloud, DevOps, and site reliability engineering

Minimum Qualifications:

• Bachelors + 0 years of previous experience
• Requires basic knowledge of theories, principles and concepts within a technical discipline; has exposure to current technologies through coursework or internship.

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Preferred Qualifications

• Academic projects, internship experience, or personal projects related to cloud, DevOps, automation, or backend systems.
• Exposure to CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar tools.
• Familiarity with version control systems such as Git.
• Basic understanding of networking concepts such as DNS, HTTP/HTTPS, TCP/IP, load balancing, and firewalls.
• Exposure to monitoring or logging tools such as Prometheus, Grafana, Splunk, ELK, or similar platforms.
• Basic understanding of microservices architecture.
• Interest in cloud security, distributed systems, production operations, and reliability engineering.

Apply for Cisco Software Engineer Off Campus Drive 

2. Full Stack AI Engineer

As a Full Stack AI Developer, you will design, build, and deploy AI-powered applications that enhance user experience, automate business processes, and deliver intelligent solutions for the Sales Planning domain.

Key Responsibilities

• Develop and implement AI-driven applications using modern Generative AI and Agentic AI frameworks.
• Design and build intelligent assistants, chatbots, AI agents, and workflow automation solutions using Large Language Models (LLMs).
• Integrate AI services and APIs, including Claude, OpenAI, MCP Servers, LangChain, Vercel AI SDK, and other emerging AI platforms.
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases, embeddings, semantic search, and knowledge retrieval techniques.
• Build proof-of-concepts (POCs) and pilot solutions to evaluate emerging AI technologies and their business impact.
• Develop scalable full-stack applications using modern frontend and backend technologies.
• Collaborate with product managers, architects, and business stakeholders to translate requirements into technical solutions.
• Create technical design documents, architecture diagrams, implementation plans, and user-facing documentation.
• Troubleshoot, debug, and resolve issues across development, testing, and production environments.
• Contribute to continuous improvement of engineering practices, coding standards, DevOps processes, and AI development methodologies.
• Stay current with advancements in AI, machine learning, software engineering, and cloud technologies, bringing innovative ideas to the team.
• Work independently while effectively collaborating with cross-functional teams to deliver high-quality solutions on schedule.

Build AI Agents with Claude — FOR FREE

Technical Skills:

AI & Generative AI

• Python, FastAPI
• AI / ML
• Large Language Models (LLMs)
• Prompt Engineering
• Agentic AI Systems
• Retrieval-Augmented Generation (RAG)
• LangChain / LangGraph
• MCP (Model Context Protocol) Servers
• Vector Databases
• Embeddings & Semantic Search
• AI Chatbot Development
• OpenAI, Claude, and other Foundation Model APIs
• GitHub Copilot, Cursor AI, and AI-assisted development tools
• REST APIs

Minimum Qualifications

• Bachelor’s degree in computer science, Engineering, Information Technology, or a related field with upto 3 years of relevant experience, OR
• Master’s degree with 2+ years of relevant experience.
• Hands-on experience in Full Stack Development using modern frontend and backend technologies.
• Strong experience in Python development and AI/Generative AI technologies.
• Experience with relational and NoSQL databases.
• Proven ability to design, develop, test, and deploy scalable software solutions.

𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗜 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆

Preferred Qualifications

• User Experience (UX) Design
• Snowflake
• Angular / React JS

• Good presentation skills

• Adoptive to new technologies

Apply for Cisco Full Stack AI Engineer Off Campus Drive