Senior AI/ML Engineer – Generative AI & Autonomous Agents (10034, 10035)

10 Minutes ago • 5 Years +
Research Development

Job Description

Extreme Networks is seeking a Senior AI/ML Engineer for its AI Competence Center. This role focuses on Generative AI, multi-agent systems, and LLM-based application development. The engineer will build AI-native systems combining traditional machine learning, generative models, and autonomous agents to power intelligent, real-time decisions for network design, optimization, security, and support.
Good 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.
Must Have:
  • Design and implement business logic and modeling for agent behavior.
  • Develop and refine LLM-driven agents using prompt engineering, RAG, fine-tuning, or function calling.
  • Understand and model domain knowledge behind each agent.
  • Apply traditional ML modeling techniques to enrich agent capabilities.
  • Contribute to the data engineering pipeline that feeds agents.
  • Build modular, reusable AI components and integrate them with backend APIs, vector stores, and network telemetry.
  • Collaborate with other AI engineers to create multi-agent workflows.
  • Translate GenAI prototypes into production-grade, scalable, and testable services.
  • Work with frontend developers to design agent experiences and UX interactions.
  • Stay up to date on trends in LLM architectures, agent frameworks, evaluation strategies, and GenAI standards.
  • 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 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.

Add these skills to join the top 1% applicants for this job

team-management
cross-functional
communication
game-texts
prototyping
networking
aws
azure
model-deployment
docker
microservices
python
system-design
machine-learning

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

  • 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.

Set alerts for more jobs like Senior AI/ML Engineer – Generative AI & Autonomous Agents (10034, 10035)
Set alerts for new jobs by extreme network
Set alerts for new Research Development jobs in United States
Set alerts for new jobs in United States
Set alerts for Research Development (Remote) jobs

Contact Us
hello@outscal.com
Made in INDIA 💛💙