🎁 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 →
Description Generative AI Engg 4+years Relevant Exp in GenAI is mandatory below 4 years Not required Hybrid working 3 days from Office 5+or 6+years Total Exp Gurugram & Noida Location Requirements Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.Proven hands-on experience in building and deploying Gen AI and Deep Learning models.Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA).Solid understanding of Neural Network fundamentals.Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers).Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB).Familiarity with APIs from major AI providers like OpenAI, Google.Strong problem-solving skills and the ability to work independently and in a team environment. Preferred Qualifications Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).Contributions to open-source AI/ML projects or a portfolio of relevant work.Published research in the field of AI, NLP, or Machine Learning. Job responsibilities Key Responsibilities: Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques.Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy.Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases.Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems.Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition.Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring.Write clean, efficient, and well-documented code, primarily in Python.Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver high-impact AI features.Stay current with the latest advancements in the field, including new models from OpenAI and other research institutions. What we offer Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants! About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. .
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.