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Join a high-impact AI team in Bangalore, Indias tech capital, building cutting-edge Generative AI (GenAI) and LLM-powered applications. Work on scalable AI products using Python, RAG pipelines, and NLP in a fast-paced innovation-driven environment. Experience 310 Years (flexible for exceptional candidates up to 12 years) Key Responsibilities Design and deploy LLM-based and Generative AI applicationsBuild scalable RAG (Retrieval-Augmented Generation) pipelinesDevelop AI agents and agentic workflows using LangGraphImplement NLP (Natural Language Processing) solutionsWork with knowledge graphs and semantic layersBuild APIs using Python and FastAPIOptimize SQL/NoSQL databases for performanceContribute to system architecture, microservices, and scalable systemsFollow CI/CD, Git workflows, and code review practices Required Skills Strong experience in Artificial Intelligence, Machine Learning (ML), and Generative AI (GenAI)Hands-on with LLMs, RAG pipelines, NLPExperience with LangGraph / AI workflow orchestrationProficiency in Python, FastAPI, API developmentStrong knowledge of SQL and NoSQL databasesExperience in system design and scalable architecture Good to Have Experience with vector databases (Pinecone, FAISS, Weaviate)Knowledge of cloud platforms (AWS, Azure, GCP)Exposure to MLOps and AI deployment pipelines Education Bachelors degree in Computer Science, Engineering, or related field (Any Graduate with relevant experience is welcome) Technology: Artificial Intelligence AI Job Type: Full Time Job Location: Bangalore Bengaluru Work Mode: Hybrid Onsite Experience: 3 to 10 Years Work Shift: India .
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.