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Role- Gen AI Engineer Key Skills required - Python, GCP, Gen AI, Vertex AI, LLM, etc. Experience- 4-12yrs Job Location - Chennai/Hyderabad Mode of Work - Hybrid About the Role: As a Premier Google Cloud Partner, we sit at the cutting edge of AI innovation, delivering production-grade Generative AI and machine learning solutions for enterprise clients. We are seeking a results-driven AI Engineer to build our next generation of AI-powered products. In this role, you will take full ownership of developing advanced AI systems, focusing on LLM Fine-Tuning using techniques like Lo RA/QLo RA and inference optimization through quantization. A key part of your role will be designing and implementing autonomous AI Agents and complex reasoning workflows with frameworks like Lang Chain or Llama Index. You will build robust Retrieval-Augmented Generation (RAG) pipelines from the ground up, leveraging vector databases, and will be responsible for rigorous model evaluation to ensure state-of-the-art performance and accuracy. Required Skills / Experience Elite proficiency in Python; proficient in SQL, Docker, and Git. Practical experience with Cloud Run, GKE, Big Query, Cloud Storage, and Pub/Sub. Hands-on experience with Vertex AI & Gemini Enterprise Pipelines, Gen AI Studio, Endpoints, and Advanced Vector Search. Proven experience building RAG systems or LLM applications using Lang Chain, Llama Index, or native GCP Gen AI tools such as the Gemini API. Experience with LLM fine-tuning, parameter-productive techniques (PEFT) like Lo RA/QLo RA, and model optimization for inference via quantization. Experience building pipelines with Apache Beam/Dataflow, Spark, or similar. Familiarity with Terraform for provisioning AI/ML infrastructure. Knowledge of or experience with Knowledge Graphs (e.g., Neo4j, Spanner) for structured data retrieval in AI systems. Roles & Responsibilities: Own the design, development, deployment, and maintenance of production-grade AI microservices. Take pride in .
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.