AI Software Engineer — Autonomous Agents & LLMs

Cisco

Kraków

Hybrid

PLN 240,000 - 360,000

Full time

7 days ago
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Job summary

Cisco's Webex Engineering Group is building AI-driven features and autonomous agents within the Partner Hub, bridging AI frameworks and production systems to empower partners.

As a Software Engineer, you design scalable AI solutions, mentor teammates, and ensure low latency, robust security and cost efficiency while collaborating with product management and data science to translate business needs into cutting-edge AI capabilities.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Extensive professional software engineering experience with AI/ML and agentic systems.
  • Proven track record deploying AI-powered apps at scale.
  • Fluent Python or Java with deep AI framework experience.
  • Strong distributed systems, API design, and cloud-native architectures.

Responsibilities

  • Design and implement AI-driven features and autonomous agents within Partner Hub.
  • Work with LLMs, vector databases, and agent frameworks to deliver scalable solutions.
  • Set standards for model evaluation, prompting, and agent reliability.
  • Mentor junior engineers and promote AI best practices.
  • Ensure latency, security, and cost-efficient production-ready AI features.
  • Collaborate with product and data science teams to translate business needs.
  • Stay updated with AI/agentic landscape and integrate new tools.

Skills

AI/ML expertise
Agentic systems
Python/Java
Distributed systems
Cloud-native
API design
Mentoring

Education

Bachelor’s/Master’s in CS/Engineering or related

Tools

LangChain
AutoGen
Pinecone/Milvus
LLM orchestration

Job description

Cisco's Webex Engineering Group is building AI-driven features and autonomous agents within the Partner Hub, bridging AI frameworks and production systems to empower partners.

As a Software Engineer, you design scalable AI solutions, mentor teammates, and ensure low latency, robust security and cost efficiency while collaborating with product management and data science to translate business needs into cutting-edge AI capabilities.

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