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GenAI / AI-ML Engineer Location: Gurugram (Hybrid) Employment Type: Full time Experience: 46 Years Budget: 20 LPA (Flexible) Preference: Noida/NCR Local Candidates Only Key Responsibilities - Design, develop, and deploy scalable AI/ML and Generative AI solutions. - Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases. - Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows. - Fine-tune, evaluate, and monitor machine learning and deep learning models. - Build REST APIs and backend services for AI applications. - Design data preprocessing, feature engineering, and model evaluation pipelines. - Integrate structured and unstructured data sources to deliver contextual AI solutions. - Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams. - Ensure scalability, reliability, and performance of AI applications in production environments. Programming & Development - Strong hands-on experience in Python and SQL. - Experience building APIs using FastAPI or similar frameworks. - Strong understanding of software engineering best practices and Agile methodologies. Machine Learning & Deep Learning - Hands-on experience with: - Scikit-learn - TensorFlow - PyTorch - Keras - Strong understanding of: - Regression - Classification - Clustering - Feature Engineering - Model Evaluation - Hyperparameter Tuning NLP & Generative AI - Minimum 1+ year of hands-on experience in GenAI/LLM projects. - Experience with: - Large Language Models (LLMs) - Prompt Engineering - RAG Architectures - Agentic AI / Multi-Agent Systems - LangChain - LangGraph - OpenAI APIs - Hugging Face - LangSmith RAG & Vector Databases - Experience working with: - Pinecone - FAISS - Knowledge of embedding models and semantic search architectures. - Experience with RAG evaluation metrics such as RAGAS, BLEU, and ROUGE. Cloud & DevOps - Hands-on experience with AWS services: - EC2 - S3 - SageMaker - Bedrock - Experience with Docker, Git, JIRA, and CI/CD practices. Compensation: Up to 2,000,000.00 per year Work Location: In person .
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.