AI Software Engineer
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SeniorFull-time
#440711·Dodano 5 dni temu·0
Źródło: CiscoTech 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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