AI Software Engineer

Cisco Systems, Inc.; Kraków; Hybrid; PLN 392,000 - 566,000; Full time

Job summary

Cisco Systems, Inc. is seeking a Software Engineer to design and implement AI-driven features and autonomous agents within the Partner Hub. You will bridge AI frameworks and production systems to automate workflows and deliver predictive insights.

You will mentor juniors, ensure production readiness, and collaborate with product management and data science teams while staying ahead of AI/Agentic trends in a hybrid setup.

Qualifications

• Degree in Computer Science, Engineering or related technical field.
• Extensive professional software engineering experience focused on AI/ML and agentic systems.
• Proven track record deploying AI-powered apps at scale.

Responsibilities

• Design and develop autonomous agents and AI-driven workflows in Partner Hub.
• Implement scalable solutions using LLMs, vector databases, and agentic frameworks.
• Set standards for model evaluation, prompts, and agent reliability.

Skills

AI/ML

Agentic systems

Python

Java

Distributed systems

Cloud-native

Education

Bachelor’s or Master’s in CS/Engineering

Tools

LangChain

CrewAI

AutoGen

Spark

Flink

Pinecone

Milvus

AWS

GCP

Azure

Job description

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.