Meet the Team
Cisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application.
Our technology powers industry-leading products like Slido, Webex Meetings, Webex Calling, and Webex Contact Center. As a member of our team, your work will ensure every user gets a truly immersive experience regardless of device or location, empowering the hybrid working patterns of the future.
Our team is based in Bratislava. We operate a hybrid working model.
Your Impact
As a Software Engineer, you will design and implement AI-driven features and autonomous agents within the Partner Hub. You will bridge the gap between AI Frameworks, complex AI models, and practical, scalable production systems. Your work will directly empower our partners by automating complex workflows, providing predictive insights, and creating a more intuitive, conversational platform experience. You will act as a technical subject matter expert, mentoring junior team members on AI best practices and ensuring our systems are robust, secure, and highly performant.
Key Responsibilities
Design and develop autonomous agents and AI-driven workflows that integrate seamlessly into the Partner Hub ecosystem.
Implement scalable solutions using Large Language Models (LLMs), vector databases, and agentic frameworks (e.g., LangChain, or similar).
Establish standards for model evaluation, prompt engineering, and agentic reliability.
Provide high-level technical guidance and mentorship to junior engineering team, fostering a culture of innovation in AI and machine learning.
Ensure AI features are production-ready, focusing on latency, cost-efficiency, security, and ethical AI practices.
Partner with product management and data science teams to translate business needs into cutting-edge AI solutions.
Stay at the cutting edge of the AI/Agentic landscape, evaluating and integrating new frameworks and tools to maintain our competitive advantage.
Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Extensive professional experience in software engineering with a strong focus on AI/ML and agentic systems.
Proven track record of deploying AI-powered applications into production environments at scale.
proficiency in Python or Java, with deep experience in AI frameworks and LLM orchestration.
Strong understanding of distributed systems, API design, and cloud-native architectures.
Preferred Qualifications
Hands-on experience with agentic frameworks (e.g., LangChain, CrewAI, AutoGen) and multi-agent orchestration.
Experience integrating AI with streaming/batch data platforms (e.g., Spark, Flink, or vector databases like Pinecone/Milvus).
Experience with fine-tuning, RAG (Retrieval-Augmented Generation), and LLM observability/evaluation tools.
Extensive experience architecting AI solutions within major cloud environments (AWS, GCP, or Azure).
Significant experience managing the full lifecycle of mission-critical, high-availability AI platforms.
Demonstrated history of leading technical initiatives and mentoring engineering teams.
Exceptional strategic thinking, communication, and stakeholder management skills.
Collab Hiring
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- Extensive professional experience in software engineering focused on AI/ML and agentic systems
- Proven experience deploying AI-powered applications into production environments at scale
- Proficiency in Python or Java
- Deep experience with AI frameworks and LLM orchestration
- Strong understanding of distributed systems, API design, and cloud-native architectures
- Hands-on experience with agentic frameworks such as LangChain, CrewAI, or AutoGen and multi-agent orchestration
- Experience integrating AI with streaming or batch data platforms such as Spark or Flink, or vector databases such as Pinecone or Milvus
- Experience with fine-tuning, RAG, and LLM observability or evaluation tools
- Extensive experience architecting AI solutions in AWS, GCP, or Azure
- Significant experience managing the lifecycle of mission-critical, high-availability AI platforms
- History of leading technical initiatives and mentoring engineering teams
- Strategic thinking, communication, and stakeholder management skills
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.
