Staff Software Engineer Generative AI-Machine Learning

We are seeking a Staff Software Engineer specializing in Generative AI and Machine Learning to shape next-generation networking experiences. This is a greenfield opportunity to drive innovation across ML, GenAI, Big Data, and Cloud platforms, influencing product vision, architecture, and technical roadmap.

Key Responsibilities

• Serve as a thought leader, defining technical vision and shaping long-term ML strategy across products and platforms.
• Lead the full software development lifecycle (SDLC), including architecture, design, coding, testing, deployment, and operations.
• Architect and deliver high-performance, production-grade ML platforms, enabling real-time ML and Generative AI systems.
• Partner with engineers, scientists, and cross-functional teams to accelerate experimentation, validation, and model integration.
• Establish best practices, conduct design/code reviews, and ensure engineering rigor and solution scalability.

Requirements

• Degree in Computer Science, Mathematics, or a related field.
• 8+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations.
• 8+ years of experience architecting and deploying end-to-end ML solutions in production.
• Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale.
• Strong experience building and operating large-scale distributed systems on cloud platforms (AWS, Azure, GCP).
• Ability to solve complex, ambiguous problems and set technical direction for teams.

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.
• Expertise with distributed Big Data technologies: Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue.
• Demonstrated ability to mentor engineers and influence cross-team initiatives.