Senior AIML Engineer – Generative AI & Autonomous Agents (10034, 10035)
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Job Location:
Toronto, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
09-10-2025
Vacancies:
1 Vacancy
Job Summary
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 Engineerwith 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
- 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 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.
Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.
