AI Operations Engineer

Cisco is hiring an AI Operations Engineer for a remote role open to applicants in India. Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
This is listed as a remote role.
The posting mentions LangChain, LangGraph and Vertex AI among its tools and skills.
Cisco has 1,400+ other open roles on Level.
This posting went up in the last few days.

AI in this role

Develops NLP models, builds MLOps pipelines, and integrates large language models into enterprise systems.

langchainlanggraphvertex-aitavilygoogle-vertex-aiawsazure

ragfine-tuningml-opsnlpmachine-learningmlopspython

Meet the Team

Today’s challenging business environment is more than that – it’s a period of disruption between global business change and internal process complexity. For us to focus on simplicity and the best customer experience, we need great talent and the right skillsets to be successful. This is now a mantra for our Cisco leadership team and for us.

Enterprise Data & AI Enablement team is changing the way we run Cisco’s operations by improving the power of technology, the best of business processes and outstanding data insights using AI. Together, we will Reimagine the Cisco experience. Show the world how to Reinvent applications and demonstrate the future of the Internet to Showcase the power of Cisco: our people, products, processes, systems, and data. Please join us and make this journey together !

Your Impact :

As an AI/ML/LLM Engineer for Enterprise Data & AI Enablement team you will :

Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication
Build and optimize MLOps pipelines to streamline AI/ML workflows
Integrate large language models (LLMs) into enterprise systems
Contribute to technical decision-making for AI tools and frameworks
Stay current on emerging AI technologies and contribute to proof-of-concept projects
Data Processing and Management:
Working with large datasets, preprocessing data, and ensuring its quality and accuracy for model training.
Model Deployment and Monitoring
Deploying machine learning models into production environments and continuously monitoring their performance, adjusting as needed.
Staying Current with Advancements:
Keeping up with the latest developments in AI and ML technologies, including new algorithms, frameworks, and best practices

Minimum Qualifications:

Bachelors + 6 years of related experience in AI/ML, or Masters + 4 years of related experience in AI/ML, or PhD + 0 years of related experience
Proficiency in LangChain/LangGraph or other Orchestration and agentic workflow
Hands-on experience with vector databases, building and fine tuning RAG pipelines
Knowledge of hybrid search (semantic + keyword), reranking strategies, and "Context Window" management.
Experience of using Tavily or other tools in conjunction with LLM for web research
Familiarity with Google Vertex AI or other providers like AWS, Azure
Knowledge in evaluating LLM based on task complexity and upgrade to newer models without loss of performance.

Preferred Qualifications

Implementing safety layers using guardrails to prevent hallucinations and PII leakage.
Familiarity in building and deploying MCP Servers
Knowledge to connect to a deployed MCP servers to orchestrate workflows.
Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication
Experience in traditional NLP based techniques including text cleaning, text similarity, clustering
Knowledge of using LLM with Grounding

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.

Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

be in direct response to an application you have submitted through the company career site
begin with screening or an interview
originate from a Cisco email address, and
be conducted across email, phone, or WebEx

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.

If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.

How we rate this

AI Operations Engineer at Cisco rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

AI Operations Engineer is an open job at Cisco.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bangalore, India and is marked remote.
The job was posted on October 19, 2026.
Seniority: senior.
Applications are handled by Cisco. Apply on Cisco

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGFine-tuningML OpsNLPMachine learningMLOpsPythonLangChain

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, Fine-tuning, ML Ops, NLP, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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