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Job Description: We are seeking a talented and driven GenAI Engineer with 36 years of experience to join our energetic team. In this role, you will leverage your analytical skills, machine learning expertise, and Generative AI capabilities to manage Gen AI pipelines / workflows, extract insights from unstructured datasets, build intelligent AI solutions, and contribute to the development of innovative, scalable systems that enhance our products and services. - Responsibilities: Manage GenAI models production pipelines to debug defects and provide root cause assessments. - Build and orchestrate LLMbased workflows using frameworks such as LangChain , including prompt engineering and pipeline design. - Implement RetrievalAugmented Generation (RAG) architectures leveraging vector databases such as Pinecone for semantic search and contextual retrieval. - Work with document ingestion and extraction workflows , including processing unstructured documents (PDFs, scans, forms) using tools like AWS Extract and GenAIbased extraction techniques. - Collaborate with crossfunctional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria. - Communicate findings and insights effectively to both technical and nontechnical audiences through visualizations, reports, and presentations. - Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics . - Mentor junior team members and contribute to a culture of continuous learning and technical excellence. - Qualifications: Bachelors or Masters degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics , or a related field. - 36 years of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects. - Handson experience with machine learning frameworks (scikitlearn, TensorFlow, PyTorch). - Practical experience with LLMs, GenAI frameworks, LangChain , and promptdriven workflows. - Strong understanding of RAG patterns , vector embeddings, and vector databases such as Pinecone . .
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.