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Data Engineer / Prompt Engineer Location: Bangalore Experience: 58 years About the Role: The AI specialist within the innovation POD, responsible for designing, building, and optimising GenAI and Agentic AI solutions for business use cases across Supply Chain, Procurement and other domains. Key Responsibilities: Design and develop GenAI/Agentic AI solutions and workflows Build and optimise prompts, chains, and agents using LLM frameworks Develop data pipelines and perform data analysis to support AI use cases Benchmark different AI models to select the most appropriate for each use case Evaluate and recommend appropriate AI models and tools for each use case Build autonomous/semi-autonomous AI agents for business process automation Collaborate with the Full-Stack Developer to integrate AI capabilities into applications Stay current on the latest GenAI/Agentic AI developments and bring new ideas to the team Present AI solutions and their business impact to client stakeholders Must-Have Skills: 58 years of experience in Data Science, ML Engineering, or AI Strong hands-on experience with Large Language Models (GPT, Claude, open-source models) Proficiency in prompt engineering and LLM application frameworks (e.g., LangChain, LlamaIndex) Strong experience with Microsoft Azure Experience building Agentic AI workflows (multi-agent systems, tool- use, autonomous agents) Strong Python skills Understanding of data analysis, NLP, and ML fundamentals Good communication skills for client-facing interactions Good to Have: Experience with Microsoft Azure AI Services and Azure OpenAI Knowledge of RAG architectures and vector databases Familiarity with MLOps practices and model deployment pipelines Prior exposure to CPG/FMCG or manufacturing domain use cases Email - abhishek.goswami@thedigitalloom.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.