Cisco Full Stack Engineer – AI/ML is a high-impact opportunity for professionals who want to work at the intersection of artificial intelligence, machine learning, and scalable enterprise systems. This role sits within Cisco IT’s CRM Engineering and Transformation Office (CETO), a team focused on delivering intelligent, data-driven solutions that enhance seller and partner experiences across Cisco’s global ecosystem.
Within the first 100 words itself, it’s clear that the Cisco Full Stack Engineer AI ML role is designed for engineers who enjoy solving complex business problems using predictive models, NLP, LLMs, and modern MLOps practices. If you’re passionate about AI-driven systems, production-grade ML models, and full-stack development, this position offers exposure to real-world enterprise-scale challenges.
About Cisco
Cisco is a global technology leader known for powering the internet and enabling secure digital transformation across industries. Cisco IT plays a strategic role in shaping internal platforms that support sales, partners, and customers worldwide. The CRM Engineering and Transformation Office (CETO) works with cross-functional teams across Sales, Finance, Legal, and Operations to deliver unified experiences using data, governance, and AI-led innovation.
Cisco’s culture emphasizes collaboration, continuous learning, and building solutions that scale globally 🌍.
Role Overview
As a Cisco Full Stack Engineer – AI/ML, you will be part of the Partner Incentives team, helping design and deliver intelligent systems that transform how partner incentive programs operate. This role combines hands-on AI/ML development with strong engineering fundamentals, enabling you to work across the full lifecycle of machine learning solutions from data preparation to production deployment.
You will collaborate closely with engineers, architects, analysts, and business stakeholders to translate complex business requirements into scalable AI-powered applications.
Key Responsibilities 🧠
- Work with AI/ML codebases to support Partner Incentive business requirements
- Develop, maintain, and optimize Python-based backend systems
- Design and deploy predictive models using supervised and unsupervised ML techniques
- Solve business problems related to forecasting, anomaly detection, behavior prediction, and decision automation
- Build and fine-tune NLP models for tasks like customer matching and deduplication
- Integrate large language models (LLMs) such as GPT-4, BERT, T5, Llama, or Mistral into enterprise workflows
- Develop and optimize end-to-end MLOps pipelines for training, deployment, monitoring, and iteration
- Work with Agentic AI frameworks and orchestration tools like LangGraph, MCP protocol, or A2A systems
- Ensure model performance, scalability, and reliability through validation and monitoring
- Participate in code reviews, testing, and documentation to maintain high-quality standards
- Collaborate across multi-functional teams to deliver impactful AI-driven solutions
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field |
| Experience | 1+ years in AI/ML development and full-stack engineering |
| Programming | Strong proficiency in Python |
| ML Skills | Classical ML algorithms, NLP, and LLMs |
| Tools | Pandas, NumPy, scikit-learn, TensorFlow, PyTorch |
| MLOps | Experience building deployment and monitoring pipelines |
| Collaboration | Strong communication and cross-team collaboration skills |
Expected Stipend 💰 (Market Estimate)
Since this Cisco Full Stack Engineer – AI/ML role is a full-time, experienced position (with a requirement of 1+ years of professional experience and working at a level that often aligns with a mid-level/lead contributor), the typical expected compensation range in India is:
💰 ₹20 LPA – ₹32 LPA (CTC) per year (approx.)
Preferred Skills 🚀
- Experience building and fine-tuning ML and LLM models (including RAG setups)
- Familiarity with FastAPI, Kafka, Elasticsearch, or Apache Solr
- Experience with Snowflake, Oracle, and large-scale data platforms
- Knowledge of ReactJS for full-stack development
- Understanding of unit and integration testing practices
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What You’ll Get
- Opportunity to work on enterprise-grade AI and ML systems
- Hands-on experience with LLMs and Agentic AI frameworks
- Exposure to real-world business transformation projects
- Collaboration with experienced engineers and architects
- Strong career growth within Cisco’s global technology ecosystem
How to Apply ✨
To apply for the Cisco Full Stack Engineer – AI/ML role, make sure your resume highlights your experience with Python, machine learning models, NLP, and MLOps pipelines. Emphasize any hands-on work with LLMs, real-world datasets, or AI systems deployed in production. If you’ve worked on personal projects, internships, or proof-of-concepts involving AI/ML or full-stack development, include them clearly.
Before applying, review the role requirements carefully and tailor your profile to match Cisco’s focus on scalable, enterprise-ready solutions. Practicing ML concepts, model deployment workflows, and explaining your problem-solving approach will strengthen your application.
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Disclaimer:
The information provided in this job post is collected from official and publicly available sources. We do not charge any fees for job information or applications and do not guarantee recruitment. Candidates are advised to verify details from the official company website. We are not responsible for any loss or damage arising from reliance on this information.
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