Description
Cisco's Webex Engineering Group is redefining the future of collaboration.
As a Software Engineer, you will design and implement AI-driven features and autonomous agents within the Partner Hub.
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.