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Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable todays needs and tomorrows next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world were living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. As our AI practice scales, we are seeking an experienced AI Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale. You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds. This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide. Required skills & experience: Robust hands-on engineer who can Design, build, and deploy agentic AI systems using LLMs, tool orchestration, and multi-agent workflows. Experience building multi-agent systems or autonomous workflows. Proven expertise to structurally debug the AI production issue and apply the right fix. Experience evaluating the Agents so that the production system remain robust. Develop and optimize MLOps pipelines, RAG, vector databases and retrieval strategies. Build robust prompt frameworks, evaluation pipelines, and guardrails for safe and reliable AI behaviour. Integrate LLM-based systems with enterprise APIs, data platforms, and operational systems. Implement observability, feedback loops, and performance monitoring for agentic systems in production. Qualifications To qualify for this role, you must have: 68 years of professional experience in software engineering with Agentic AI, ML platform engineering with 5+ years of hands-on experience with Generative AI and LLM-based systems in production environments. BE/B.Tech/ME/M.Tech Computer Science/IT/Electronics Engg/ Data Science/ Machine learning/AI Engineering or related field. Solid grounding in core data science and machine learning. Practical experience with LLMs and generative AI, including prompting and RAG. Familiarity with how AI agents are built and orchestrated. Strong Python and common data/ML libraries; good engineering habits. Clear communicator and cooperative team player. Ideally, youll also have, but not essential: Exposure to cloud AI platforms, Azure a plus. Experience practicing MLOps and LLMOps. Early experience mentoring junior colleagues. Interest in consulting and client-facing delivery. Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are
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.