🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
At Penguin Solutions (Nasdaq: PENG) The AI Factory Platform Company were building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide. Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale. Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision. At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact. Job Overview We are looking for a Senior Applied AI Engineer to build intelligent capabilities for the ClusterWareAI AI Operational Agent. This role will focus on translating customer and operational workflows into AI-powered experiences using large language models, retrieval systems, and enterprise integrations. You will work closely with Product Management, AI Platform Engineering, and software engineering teams to rapidly prototype, develop, and deliver production-ready AI capabilities. Responsibilities Develop AI-powered workflows that automate infrastructure and operational tasks. Design prompts, tool integrations, and reasoning workflows for enterprise use cases. Build retrieval, knowledge-grounding, and context management solutions using retrieval-augmented generation (RAG). Evaluate AI quality and continuously improve accuracy, reliability, and user experience. Integrate AI capabilities with enterprise systems, APIs, and the ClusterWareAI platform. Collaborate with Product Management and engineering teams to rapidly prototype and deliver AI features. Stay current with advances in LLMs, agentic AI, and emerging AI technologies, applying them where they create customer value. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of software engineering experience, including hands-on AI application development. Strong Python programming skills, including experience with Python testing frameworks such as Pytest or equivalent. Experience building applications using LLM APIs, agent frameworks, or similar AI orchestration technologies. Experience with prompt engineering and retrieval techniques, including RAG. Strong understanding of REST APIs and enterprise integrations. Excellent problem-solving and communication skills. Preferred Qualifications Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, or similar AI frameworks. Experience building enterprise copilots or AI assistants. Experience measuring AI quality through evaluation frameworks and user feedback. Experience with embeddings and vector databases. Experience with model adaptation techniques such as fine-tuning, LoRA, parameter-efficient fine-tuning (PEFT), or similar approaches. Familiarity with infrastructure management, IT operations, or enterprise SaaS platforms. Location Hybrid - Bangalore Travel As needed .
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.