If you have been looking for an exciting tech opportunity where you can actually work on modern Generative AI systems rather than just reading about them on social media, here is some great news. Networking and technology giant Cisco is actively hiring for a Software Engineer (Full Stack AI Developer) position at their flagship campus in Bangalore. This opening sits right at the intersection of enterprise software engineering and advanced AI, giving you a chance to build real-world GenAI and Agentic AI applications at scale.
Whether you are an early-career software engineer with up to three years of experience or a recent master's graduate with solid hands-on project work in Python, LLMs, and web frameworks, this opening can be a game-changer for your career. Let us walk through everything you need to know about this role, what the team works on, the exact skill set required, salary expectations, and practical tips to get shortlisted.
Quick Job Overview
| Company | Cisco Systems India |
| Job Role | Software Engineer - Full Stack AI Developer |
| Job Location | Bangalore, Karnataka, India |
| Experience Required | 0 to 3 Years (Bachelor's) or 2+ Years (Master's) |
| Educational Qualification | B.E / B.Tech / M.E / M.Tech / MCA in CS, IT, or related technical branches |
| Employment Type | Full-Time, Permanent |
| Expected Salary | Best in Industry (Typical Cisco Grade ranges from ₹14 to ₹24 LPA) |
About Cisco and the Hiring Team
Cisco is globally recognized as the backbone of modern enterprise networking, cloud infrastructure, and cybersecurity. For over four decades, Cisco has built the hardware, software, and secure connections that power communication across businesses and governments worldwide. In recent years, Cisco has been aggressively transforming its product ecosystem by infusing artificial intelligence into enterprise operations, network telemetry, security analytics, and internal productivity tools.
This particular role is part of the Sales Planning and Product Management team, which operates inside the Enterprise Data & AI Enablement division. This team creates enterprise-scale Go-to-Market (GTM) planning and performance management platforms. They manage sales hierarchy, territory design, quota allocation, and performance tracking across thousands of enterprise sales professionals. Their primary mission is to equip internal sales teams with precise target setting, smart automation, and actionable AI insights so that the business can scale efficiently.
What Will You Do as a Full Stack AI Developer?
Unlike traditional software roles where you might just maintain older monolithic codebases, this position will see you building intelligent assistants, automated workflows, and end-to-end full-stack systems. Here is a clear breakdown of your primary responsibilities:
- Develop Generative & Agentic AI Systems: Build functional AI agents, automated workflow assistants, and conversational chatbots powered by Large Language Models (LLMs) such as Claude and OpenAI GPT models.
- Implement Retrieval-Augmented Generation (RAG): Design and tune RAG pipelines using vector databases, embedding models, semantic search, and document retrieval to ensure AI responses are accurate and grounded in internal business data.
- Integrate AI Frameworks & APIs: Work with tools like LangChain, LangGraph, Model Context Protocol (MCP) servers, and Vercel AI SDK to integrate foundational models seamlessly into business systems.
- End-to-End Full Stack Engineering: Write clean backend logic using Python and FastAPI, design scalable REST APIs, and hook them up with intuitive frontends built with modern libraries like React or Angular.
- Proof of Concepts & Experimentation: Rapidly prototype POCs to evaluate new AI libraries, multimodal models, and experimental architectures before pushing them into enterprise production.
- System Reliability & DevOps: Containerize microservices using Docker, deploy them via Kubernetes, set up CI/CD pipelines in Jenkins or GitHub Actions, and ensure enterprise-grade security using OAuth 2.0 and JWT.
Eligibility Criteria
Cisco has clearly outlined the academic and experience thresholds required for this opening. Take a close look to verify if your profile fits:
- Bachelor's Degree: B.E / B.Tech in Computer Science, Information Technology, Electronics, or related fields with up to 3 years of relevant work experience.
- Master's Degree: M.E / M.Tech / M.S / MCA with 2 or more years of relevant experience in software and AI application development.
- Academic Track Record: A strong foundational knowledge in data structures, algorithms, databases, and object-oriented programming.
- Target Batches: Graduates from 2022, 2023, 2024, or early 2025 batches who have built solid full-stack Python or GenAI projects.
Key Skills Cisco Is Looking For
To stand out during resume shortlisting and the technical interview rounds, you should be comfortable with the following core areas:
1. AI & Generative AI Ecosystem
Strong Python skills, hands-on experience with FastAPI, prompt engineering, agentic patterns, LangChain / LangGraph, RAG pipelines, vector databases (like Chroma, Pinecone, or FAISS), and interacting with OpenAI or Anthropic APIs.
2. Full Stack Web Development
Designing clean RESTful microservices, state management, and frontend components using modern frameworks like React.js or Angular. Understanding user experience (UX) and clean visual flows is a huge plus.
3. Databases & Cloud Tools
Relational and non-relational database systems such as PostgreSQL, Oracle, Redis, and Snowflake. Experience with Docker containers, basic Kubernetes orchestration, and CI/CD pipelines via GitHub Actions.
4. Security & Engineering Standards
Solid grasp of authentication and authorization protocols including OAuth 2.0 and JWT. Writing unit tests, adhering to secure coding principles, and using Git effectively for team collaboration.
Expected Recruitment & Interview Process
While hiring steps can adapt based on applicant volume, Cisco generally follows a structured four-stage evaluation for technical software engineering positions:
- Resume Shortlisting: The recruitment team filters candidates whose resumes explicitly showcase real Python, full stack, and AI/LLM experience. Having live projects, GitHub links, or published articles definitely helps here.
- Online Technical Assessment: Expect coding questions focusing on data structures (strings, arrays, trees, hashing) and basic algorithmic problem solving, along with multiple-choice questions on system fundamentals, Python, and SQL.
- Technical Interview Round (Core Skills & AI): A detailed live coding and technical discussion. The interviewer will ask you to explain projects from your resume, design an API endpoint in FastAPI, build a RAG pipeline on a whiteboard, or explain how vector embeddings work.
- Managerial & Cultural Fitment Round: A conversation with engineering managers to evaluate your problem-solving mindset, ownership, how you handle deadlines, and how comfortably you communicate complex ideas to non-technical stakeholders.
Practical Tips to Get Your Application Noticed
- Highlight Concrete GenAI Projects: Do not just list keywords. Mention specific metrics, like "Built a customer query RAG bot using LangChain, FastAPI, and PGVector that reduced internal response time by 40%."
- Brush Up on Core Python: Interviewers at Cisco value strong fundamentals. Make sure you can write clean, idiomatic Python code, understand async programming in FastAPI, and handle exceptions neatly.
- Keep Your GitHub Profile Ready: Make sure your repositories have clear README files, instructions to run locally, and screenshots of frontend UI components.
- Network on LinkedIn: After submitting your application through the official careers portal, consider connecting with Cisco engineers or technical recruiters working in Bangalore to introduce yourself politely.
Official Link • Direct Application on Cisco Job Portal