Over 50000 customers globally trust our endtoend clouddriven networking solutions. They rely on our toprated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With doubledigit 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 theres no better time to join the Extreme team.
Senior AI/ML Engineer Generative AI & Autonomous Agents
Design and implement the business logic and modeling that governs agent behavior including decisionmaking workflows tool usage and interaction policies.
Develop and refine LLMdriven agents using prompt engineering retrievalaugmented generation (RAG) finetuning 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 APIsvector stores and network telemetry pipelines.
Collaborate with other AI engineers to create multiagent workflows including planning refinement and escalation steps.
Translate GenAI prototypes into productiongrade 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 humanintheloop feedback.
Stay up to date on trends in LLM architectures agent frameworks evaluation strategies and GenAI standards.
Qualifications:
Masters 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 handson experience building and deploying traditional ML models.
Solid programming skills in Python with experience integrating AI modules into cloudnative 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 tooluse chaining.
Strong understanding of RAG architectures including semantic chunking metadata design and hybrid retrieval.
Handson 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 crossfunctional work with product managers network engineers and backend teams.
Nice to Have:
Experience with LLMOps toolsopensource agent frameworks or orchestration libraries.
Familiarity with DockerDocker Compose and containerbased development environments.
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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