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AI Software Engineer

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SeniorFull-time
#440711·Dodano 5 dni temu·0
Źródło: Cisco
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Tech Stack / Keywords

PythonJavaLangChainLLMSparkFlinkAWSGCPAzure

Firma i stanowisko

Cisco's Webex Engineering Group is building collaboration technology powering products like Slido, Webex Meetings, Webex Calling, and Webex Contact Center. The team is based in Bratislava and operates a hybrid working model.

Wymagania

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
  • Extensive professional experience in software engineering focused on AI/ML and agentic systems.
  • Proven deployment of AI-powered applications into production 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 such as 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).
  • Experience managing full lifecycle of high-availability AI platforms.
  • History of leading technical initiatives and mentoring engineering teams.
  • Strategic thinking, communication, and stakeholder management skills.

Obowiązki

  • Design and develop autonomous agents and AI-driven workflows for the Partner Hub ecosystem.
  • Implement scalable solutions using Large Language Models (LLMs), vector databases, and agentic frameworks such as LangChain.
  • Establish standards for model evaluation, prompt engineering, and agentic reliability.
  • Provide technical guidance and mentorship to junior engineers.
  • Ensure AI features are production-ready focusing on latency, cost-efficiency, security, and ethical AI practices.
  • Collaborate with product management and data science teams to deliver AI solutions.
  • Continuously evaluate and integrate new AI frameworks and tools.
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