Senior AI/ML Engineer – Generative AI & Autonomous Agents (9746)

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Senior AI/ML Engineer – Generative AI & Autonomous Agents Introduction At

Extreme Networks , we create effortless networking experiences that empower people and organizations to advance. As part of our growing

AI Competence Center , we are seeking a

Senior AI/ML Engineer

with expertise in

Generative AI ,

multi-agent systems , and

LLM-based application

development

. In this role, you will help build the next generation of

AI-native systems

that combine traditional machine learning, generative models, and autonomous agents. Your work will power intelligent, real-time decisions for

network design ,

optimization ,

security , and

support . Key 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. Qualifications:

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. Nice to Have:

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. Extreme Networks, Inc. ( EXTR ) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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