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About the job Location: Gurugram, Haryana Employment Type: Full-Time Experience: 5+ Years About Aaizel Tech Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible. Role Overview As AI/ML Engineer, you will lead the development, deployment, and optimization of advanced AI systems spanning Generative AI, Large Language Models (LLMs), Agentic AI, Computer Vision, and intelligent automation. You will drive innovation, mentor junior engineers, and build scalable, production-ready AI solutions. Key Responsibilities AI Development & Research Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI techniques. Build solutions involving NLP, Computer Vision, multimodal AI, anomaly detection, and predictive analytics. Develop and optimize LLM-based applications, RAG pipelines, and Agentic AI workflows. Fine-tune and evaluate foundation models, including LLMs and Vision Language Models (VLMs). Research, prototype, and productionize state-of-the-art AI techniques. Model Optimization & Deployment Optimize models for performance, scalability, latency, and real-time inference. Apply model compression techniques such as quantization, pruning, and distillation for edge and cloud deployments. Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks. Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability. Collaboration & Leadership Collaborate with cross-functional teams to integrate AI capabilities into end-to-end products. Mentor junior engineers, conduct code reviews, and promote engineering best practices. Maintain technical documentation and contribute to architectural decisions. Preferred Technology Stack Programming: Python, SQL AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, PyTorch Lightning Generative AI & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy LLMs & RAG: OpenAI, Gemini, Anthropic APIs, FAISS, Pinecone, Milvus, Qdrant, Weaviate Computer Vision & Edge AI: OpenCV, ONNX Runtime, TensorRT, OpenVINO, Tesseract OCR MLOps/LLMOps: Docker, Kubernetes, MLflow, Kubeflow, Weights & Biases, GitLab CI/CD Cloud: AWS, Azure, GCP Monitoring: Prometheus, Grafana, LangSmith, Evidently AI Databases: PostgreSQL, MongoDB, Redis Required Skills & Qualifications 5+ years of experience in AI/ML, Deep Learning, or related domains. Strong proficiency in Python and hands-on experience with PyTorch, TensorFlow, and Hugging Face ecosystem. Experience building LLM applications, RAG systems, and Agentic AI solutions. Strong understanding of Generative AI, Transformers, Prompt Engineering, and modern NLP techniques. Experience in Computer Vision and deploying optimized models in cloud and/or edge environments. Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms. Proven ability to translate research into scalable production systems. Excellent problem-solving, communication, leadership, and mentoring skills. Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. What We Offer Opportunity to work on cutting-edge AI and Generative AI solutions. Continuous learning, research, and career growth opportunities. Collaborative and innovation-driven work culture. Opportunity to build impactful, next-generation AI products. How to Apply Please submit your resume, portfolio, and a cover letter outlining your relevant experience and how you can contribute to Aaizel Techs success. Skills:- Natural Language Processing (NLP), Generative AI, Machine Learning (ML), Deep Learning, Large Language Models (LLM) tuning, Agentic AI and Retrieval Augmented Generation (RAG) .
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.