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About the Role We're looking for data science and AI engineering with 28 years of experience across core data science, Machine Learning, Generative AI, and Agentic AI. You'll build everything from statistical models to LLM-powered and autonomous agent solutions, driving real business impact while mentoring the team. Location: Bangalore/Pune Key Responsibilities Design experiments and apply statistical techniques to extract insights from large datasetsBuild and deploy ML models (clustering, decision trees, neural networks, simulation) for predictive use.Build Generative AI solutions involving prompt engineering, fine-tuning and RAG pipelines using LLMsDesign agentic AI systems involving multi-agent orchestration, tool calling, autonomous workflows.Host and deploy models and agents as scalable API-ready servicesChampion explainable and responsible AI practices across all solutionsMentor junior data scientists and present technical work clearly to non-technical stakeholders Requirements 28 years of experience in data science, machine learning, or applied AI, with production deployment experienceAdvanced proficiency in Python and SQL for data manipulation and analysis at scale with solid statistical and ML foundationHands-on experience with LLMs including RAG, prompt engineering, fine-tuning and agentic frameworksPractical experience building agentic AI systems involving tool calling and autonomous workflows.Familiarity with vector and orchestration frameworks like LangChain, LangGraph, LlamaIndex Experience with model and agent hosting (MLOps/LLMOps) and API deployments Excellent communication skills with ability to explain technical work to non-technical audiences Strong analytical and problem-solving mindset and comfortable working in a fast-paced ambiguous environment .
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.