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Years of Experience: 3-5 Years Skills Stack: Generative AI, Azure or AWS Shift Timings: 05:30 am - 05:30 am () Role and Responsibility Details: Job Description: About the Role We are seeking a highly skilled and motivated Generative AI Engineer with hands-on experience in building and deploying multimodal AI solutions (text, audio, and video) on Azure or AWS AI platforms. The ideal candidate will have deep knowledge of generative AI models (LLMs, diffusion models, etc.), and be capable of designing, developing, and scaling AI/ML solutions using cloud-native tools and services. Key Responsibilities - Design, develop, and deploy multimodal AI models (text, audio, video) using AWS or Azure AI services. - Integrate LLMs (e.g., OpenAI, Anthropic, Cohere) with proprietary or third-party models to build custom applications. - Utilize Azure OpenAI, AWS Bedrock, SageMaker, or similar services for training and inference workflows. - Develop pipelines for preprocessing, training, evaluation, and fine-tuning of multimodal models. - Collaborate with product and engineering teams to define use cases and translate them into scalable GenAI solutions. - Evaluate and optimize models for latency, accuracy, cost, and ethical considerations. - Implement prompt engineering, RAG (retrieval-augmented generation), vector search, and other advanced techniques. - Stay current with GenAI research trends and contribute to internal knowledge sharing. Required Skills & Qualifications - 5+ years of experience in AI/ML, with 1 2 years specifically in generative AI / multimodal AI. - Solid proficiency with at least one cloud platform: Azure AI (Azure OpenAI, Cognitive Services, ML Studio) or AWS AI (Bedrock, SageMaker, Transcribe, Rekognition, Polly, etc.). - Hands-on experience with multimodal data processing (e.g., NLP, audio signal processing, video analysis). - Experience with LLMs, transformer architectures, and model fine-tuning (e.g., LoRA, PEFT, adapters). - Proficiency in Python, and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). - Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding generation. - Strong understanding of MLOps, CI/CD for ML, and deployment strategies for GenAI models. Qualifications: B.E Locations: Pune Contact: Recruitment Team Email: tdg-recruitment@thedigitalgroup.com .
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.