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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.