Extreme Networks · 3 months ago
Senior AI/ML Engineer – Generative AI & Autonomous Agents (10034, 10035)
Seattle, Washington
Full-time
Hybrid
Senior Level
5+ years expExtreme Networks creates effortless networking experiences and is seeking a Senior AI/ML Engineer to join their AI Competence Center. This role involves building AI-native systems that integrate traditional machine learning and generative models to enhance network design, optimization, security, and support.
Communication HardwareComputerInformation TechnologyInternet of ThingsNetwork Hardware
Responsibilities
Design and implement the business logic and modeling that governs agent behavior, including decision-making workflows, tool usage, and interaction policies
Develop and refine LLM-driven agents using prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or function calling
Understand and model the domain knowledge behind each agent: engage with network engineers, learn the operational context, and encode this understanding into effective agent behavior
Apply traditional ML modeling techniques (classification, regression, clustering, anomaly detection) to enrich agent capabilities
Contribute to the data engineering pipeline that feeds agents, including data extraction, transformation, and semantic chunking
Build modular, reusable AI components and integrate them with backend APIs, vector stores, and network telemetry pipelines
Collaborate with other AI engineers to create multi-agent workflows, including planning, refinement, execution, and escalation steps
Translate GenAI prototypes into production-grade, scalable, and testable services in collaboration with platform and engineering teams
Work with frontend developers to design agent experiences and contribute to UX interactions with human-in-the-loop feedback
Stay up to date on trends in LLM architectures, agent frameworks, evaluation strategies, and GenAI standards
Qualification
Required
Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
5+ years of experience in ML/AI engineering, including 2+ years working with transformer models or LLM systems
Strong knowledge of ML fundamentals, with hands-on experience building and deploying traditional ML models
Solid programming skills in Python, with experience integrating AI modules into cloud-native microservices
Experience with LLM frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Haystack), and vector databases (e.g., FAISS, Weaviate, Pinecone)
Familiarity with prompt engineering techniques for system design, memory management, instruction tuning, and tool-use chaining
Strong understanding of RAG architectures, including semantic chunking, metadata design, and hybrid retrieval
Hands-on experience with data preprocessing, ETL workflows, and embedding generation
Proven ability to work with cloud platforms like AWS or Azure for model deployment, data storage, and orchestration
Excellent collaboration and communication skills, including cross-functional work with product managers, network engineers, and backend teams
Preferred
Experience with LLMOps tools, open-source agent frameworks, or orchestration libraries
Familiarity with Docker, Docker Compose, and container-based development environments
Background in enterprise networking, SD-WAN, or network observability tools
Contributions to open-source AI or GenAI libraries
Company
Extreme Networks
Extreme Networks provides wired and wireless networking solutions to enhance connectivity for businesses and organizations.
1001-5000 employees
H1B Sponsorship
Extreme Networks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (22)
2023 (25)
2022 (26)
2021 (23)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$17.3MKey Investors
Kleiner Perkins
1999-04-09IPO
1997-05-08Series B· $12.3M
1996-05-01Series A· $5M
Leadership Team
Edward Meyercord
Chief Executive Officer, President and Director
Nabil Bukhari
President, AI Platforms and Chief Technology Officer
Recent News
Morningstar.com
2026-01-07
Norwest
2025-12-31
2025-12-24
Company data provided by crunchbase