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Machine Learning Engineer / Generative AI Engineer Experience: - 5-15 Years Location: Hyderabad / / Bhubaneswar Employment Type: Full-Time About the Role We are seeking an experienced Machine Learning Engineer / Generative AI Engineer to join our growing AI team. In this role, you will be responsible for designing, deploying, and operating enterprise-scale AI and Generative AI solutions in cloud-based production environments. You will work closely with cross-functional teams to build intelligent applications, implement AI workflows, and establish scalable AI platforms that deliver measurable business value. Key Responsibilities Deploy, scale, and manage Machine Learning and Generative AI solutions in cloud environments, with a preference for Azure-based ecosystems. Design and develop enterprise-grade Retrieval-Augmented Generation (RAG) applications using embeddings, vector databases, and retrieval pipelines. Build and operationalize Agentic AI workflows with tool integration using frameworks such as LangChain and LangGraph. Develop reusable AI infrastructure and orchestration frameworks using Model Context Protocol (MCP) and AI Development Kit (ADK). Design and implement model-serving architectures, including REST APIs, batch inference, and real-time AI services. Establish best practices for observability, monitoring, evaluation, governance, and performance optimization of AI systems. Collaborate with Data Engineering, Application Development, and Business teams to integrate AI solutions into enterprise workflows. Drive adoption of MLOps and LLMOps practices, including CI/CD automation, model versioning, testing, deployment, and lifecycle management. Ensure security, compliance, reliability, scalability, and cost optimization of AI services deployed in production environments. Contribute to architectural decisions and continuously improve AI platform capabilities. Required Skills & Experience 510 years of experience in Machine Learning Engineering, AI Platform Engineering, MLOps, or related domains. Strong proficiency in Python and experience building production-grade AI/ML applications and services. Hands-on experience with Generative AI and Large Language Model (LLM) applications in enterprise environments. Expertise in Retrieval-Augmented Generation (RAG), vector search, embeddings, and retrieval pipelines. Experience with orchestration frameworks such as LangChain, LangGraph, and LangSmith. Strong understanding of AI model serving, inference pipelines, monitoring, and observability. Experience with Azure AI, Azure Machine Learning, Databricks, or similar cloud AI platforms. Hands-on experience with Docker, Kubernetes, REST APIs, and cloud-native deployments. Knowledge of MLOps/LLMOps practices, including CI/CD, testing, version control, and deployment automation. Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment. Educational Qualification Bachelors Degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related field.Role & responsibilities Preferred candidate profile Perks and benefits .
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.