🎁 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 →
The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. Youll work at the heart of global teams across Advisory, Assurance, Tax and Business Servicessolving real client challenges through connected collaboration. Well help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a differenceevery day. As a Generative AI - Software Engineer - Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will leverage advanced analytics and statistical techniques to extract insights from large datasets, focusing on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and develop a deeper understanding of the business context. In this role at PwC Acceleration Center India, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will involve using a broad range of tools and methodologies to generate new ideas and solve problems, ultimately driving data-driven decision-making and informing strategic decisions. Responsibilities - Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects. - Design, develop, and maintain scalable backend solutions, including event-driven architectures and integration with external systems/APIs. - Manage data storage solutions using relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production. - Utilize containerization (Kubernetes) and implement DevOps practices, including CI/CD pipelines (Azure DevOps, GitHub Actions), for efficient deployment and scalability. - Build and integrate APIs using Python frameworks (Flask, FastAPI) and collaborate with data scientists, engineers, and DevOps teams for seamless AI model deployment. What You Must Have - At least a Bachelor's & Master's degree - At least 4 years of experience - Oral and written proficiency in English required What Sets You Apart - Proficient with LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex, and experienced in integrating, scaling, and deploying GenAI and agentic applications in production. - Skilled in setting up data pipelines for both model training and real-time inference to support AI workloads efficiently. - Advanced Python expertise including OOP, asynchronous programming (asyncio), concurrency (multithreading, multiprocessing), design patterns, memory management, and performance optimization for scalable GenAI systems. - Robust foundation in data structures, algorithms, software design principles (SOLID, clean architecture), and hands-on experience with cloud-native development on Azure/AWS, including serverless, microservices, and container orchestration (Kubernetes, Docker). - Experience with additional OOP languages (Java, C++, C#) and familiarity with WebSocket implementations for real-time application functionality. .
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.