7 days ago
Responsibilities
- Design scalable Python backend systems and data pipelines.
- Drive architecture and development of agentic AI and LLM systems using LangGraph.
- Define LLM performance, token, latency, throughput, and cost optimization strategies.
- Establish standards for AI/RAG architecture, APIs, databases, and distributed systems.
- Design AWS and cloud-native workloads using S3, SQS, SNS, Lambda, Docker, and Kubernetes.
- Lead complex technical and production issues across teams.
- Mentor engineers and influence engineering standards and technical direction.
- Partner with stakeholders to align technical strategy with business goals.
- Create technical and user documentation and improve software development processes.
- Apply secure coding practices, protect user privacy, and debug software issues in development and production.
Requirements
- 5 to 10 years of hands-on experience in machine learning engineering, backend development, and applied AI.
- Deep experience with agentic AI, LLM applications, LangGraph, and RAG architectures.
- Experience operationalizing deep learning and LLM models in production.
- Experience deploying LangGraph and multi-agent workloads with versioned prompts, runtime safeguards, and rollback strategies.
- Experience implementing token, latency, throughput, and cost optimization strategies for LLM systems.
- Experience with LLM evaluation and observability tooling such as LangSmith or equivalent.
- Expertise in ETL optimization, including workload-aware scheduling, partition pruning, caching, and storage-format tuning.
- Strong expertise in Python, backend engineering, and distributed systems.
- Ability to mentor engineers and lead large-scale cross-functional initiatives.
- Ability to align technical strategy with business goals and stakeholder priorities.
- Knowledge of network technologies and enterprise platform integration patterns.
- Strong written and verbal communication, including executive-ready technical storytelling.
- Experience integrating Model Context Protocol and related AI tool ecosystems.
Tech Stack
Categories
About Cisco
Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all.