Develops software consistent with Cisco ‘Design Thinking Principles’ with a focus on simplification and UX (User Experience) at its core, using secure coding practices, ensuring user privacy, and following software development best practices. Partners with other teams including design and product management to create the right solution for the customers. Creates technical design documentation to be used by the team as well as contributing to user documentation to be used by end users. Debugs and addresses software issues during development and in production systems to support customers. Brings new ideas for product innovation and helps improve software development processes.
What You’ll Do:
Align to overall architecture and technical design for backend, data, cloud, and AI platforms.
• Lead the design of scalable Python backend systems and data pipelines.
• Drive architecture and development of complex Agentic AI/LLM systems using LangGraph.
• Define strategies for LLM performance, token, latency, and cost optimization.
• Establish standards for AI/RAG architecture, APIs, databases, and distributed systems.
• Drive AWS and cloud-native architecture using S3, SQS, SNS, Lambda, Docker, and Kubernetes.
• Lead complex technical and production issues across teams.
• Mentor engineers and influence engineering standards and technical direction.
• Partner with stakeholders to align technical strategy with business goals.
Minimum Qualifications:
Minimum 5 to 10 years of hands-on experience in machine learning engineering, backend development, and applied AI.
Deep experience with Agentic AI, LLM applications, LangGraph, and RAG architectures.
Proven experience operationalizing deep learning and LLM models in production.
Proven experience deploying LangGraph and multi-agent workloads with versioned prompts, runtime safeguards, and rollback strategy.
Strong experience defining and implementing token, latency, throughput, and cost optimization strategies for LLM systems.
Experience with LLM evaluation and observability tooling (for example, LangSmith or equivalent).
Expertise in ETL optimization, including workload-aware scheduling, partition pruning, caching, and storage-format tuning.
Strong expertise in Python, backend engineering, and distributed systems
Preferred Qualifications
Demonstrated ability to mentor engineers and lead large-scale, cross-functional initiatives.
Proven ability to align technical strategy with business goals and stakeholder priorities.
Strategic thinker with ability to translate complex requirements into scalable technical solutions.
Knowledge of network technologies and enterprise platform integration patterns.
Strong written and verbal communication, including executive-ready technical storytelling.
Experience integrating Model Context Protocol and related AI tool ecosystems.
Qualifications
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.
Skills Required
- 5 to 10 years of hands-on experience in machine learning engineering, backend development, and applied AI
- Deep experience with agentic AI, LLM applications, LangGraph, and RAG architectures
- Experience operationalizing deep learning and LLM models in production
- Experience deploying LangGraph and multi-agent workloads with versioned prompts, runtime safeguards, and rollback strategies
- Experience defining and implementing token, latency, throughput, and cost optimization strategies for LLM systems
- Experience with LLM evaluation and observability tools such as LangSmith or equivalent
- Expertise in ETL optimization, workload-aware scheduling, partition pruning, caching, and storage-format tuning
- Strong expertise in Python, backend engineering, and distributed systems
- Ability to mentor engineers and lead large-scale, cross-functional initiatives
- Ability to align technical strategy with business goals and stakeholder priorities
- Strategic thinking and ability to translate complex requirements into scalable technical solutions
- Knowledge of network technologies and enterprise platform integration patterns
- Strong written and verbal communication, including executive-ready technical storytelling
- Experience integrating Model Context Protocol and related AI tool ecosystems
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
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