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We're Hiring | Senior AI Engineer | CapGemini Work Mode: Work From Office Experience: 69 Years CTC: 2532 LPA Joining: Immediate Joiners to 10 Days Only Interview Process: Only 1 Face-to-Face Technical Round (Post Screening) Key Responsibilities Develop, deploy, and optimize AI/ML models for production environments. Fine-tune Large Language Models (LLMs) using LoRA, QLoRA, and PEFT techniques. Build scalable NLP, retrieval, and multimodal AI solutions. Integrate AI systems with Graph Databases and Vector Databases. Collaborate with cross-functional teams and mentor junior engineers. Drive innovation by implementing cutting-edge AI technologies. Required Skills Strong hands-on experience with TensorFlow, PyTorch, and Hugging Face Expertise in LLM Fine-Tuning (LoRA, QLoRA, PEFT) Experience with Graph Databases (Neo4j, TigerGraph) Hands-on with Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB) Deep understanding of Transformers, GANs, and Diffusion Models Strong experience in NLP, Retrieval Systems, and Multimodal AI Excellent Python programming with NumPy, Pandas, Scikit-learn Experience deploying ML models on AWS, Azure, or GCP Preferred Skills MLOps knowledge for AI deployment and monitoring Open-source contributions or AI research publications Understanding of Ethical AI and Data Privacy Experience with multimodal AI applications Qualification Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. What We're Looking For Strong analytical and problem-solving skills Excellent communication and stakeholder management Ability to mentor team members and work independently Passion for building production-ready AI solutions If you're passionate about building next-generation AI solutions and meet the above criteria, we'd love to hear from you! .
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.
