Extremenetworks1mo ago

AI Staff SW Systems Engineer

Bangalore · BangaloreFulltimelead

Data ScienceSystems EngineerInfrastructure & Cloud

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Overview

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions.

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Data ScienceSystems EngineerInfrastructure & Cloud

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.

AI Staff SW Software Engineer (Gen AI, Big Data):

Experience : 7 to 13 Years

Location : Bangalore,India

Remote

Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.

This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.

There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.

Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

Job Responsibilities

· Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation

· Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation

· Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks

· Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale

Requirements

· Degree in Computer Science, Mathematics, or a related field

· 6+ Years of full SDLC experience including design, coding, reviews, testing, deployment, and operations

· 6+ Years of experience building and deploying end-to-end ML solutions in production

· Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production

· Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP

· Strong ability to solve complex and ambiguous problems

Preferred Qualifications

· MS or PhD in Computer Science, Machine Learning, or a related discipline

· Experience with Graph ML and Graph technologies such as GNNs or Graph RAG

· Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue