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AI Engineer – Agentic AI, GenAI & RAG 📍 Location: Ambattur, Chennai 💼 Employment Type: Contract – 12 Months 📅 Experience: 3+ Years ⏳ Notice Period: Immediate Joiners / Short Notice Preferred About the Role We are looking for an experienced AI Engineer with strong hands-on expertise in Python, Machine Learning, Agentic AI, RAG, and Generative AI to join our team. The ideal candidate will be responsible for designing, developing, and deploying intelligent AI solutions and scalable ML applications. Key Responsibilities Design, develop, and deploy AI/ML and Generative AI solutions . Build RAG (Retrieval-Augmented Generation) pipelines and AI-powered applications. Develop Agentic AI / AI Agents and multi-step intelligent workflows. Develop scalable backend services and APIs using Python, Django, and Flask . Build, train, evaluate, and fine-tune machine learning models. Work with NLP, LLMs, embeddings, vector databases, and prompt engineering. Integrate AI/ML models into production applications using REST APIs. Perform data preprocessing, feature engineering, model evaluation, and optimization. Work with SQL, NoSQL, and RDBMS databases. Collaborate with Data Scientists, Software Engineers, and business stakeholders. Deploy, monitor, and maintain AI/ML applications in production. 🔑 Required Skills Must Have: Python – 3+ years Machine Learning – 3+ years Agentic AI / AI Agents RAG (Retrieval-Augmented Generation) Generative AI / GenAI Django / Flask NLP LLMs REST API development SQL / RDBMS NoSQL databases Data Structures & Algorithms Statistics & Machine Learning fundamentals ML / AI Frameworks & Libraries PyTorch / Keras Scikit-learn Pandas NumPy NLP libraries/frameworks LLM frameworks and tools Vector databases / semantic search Good to Have R programming LangChain / LangGraph Hugging Face OpenAI / Azure OpenAI Vector databases such as FAISS, Pinecone, Chroma, or Weaviate Docker Cloud platforms (AWS / Azure / GCP) MLOps / CI/CD Qualifications Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field. 3+ years of relevant professional experience in AI/ML/NLP. Strong problem-solving and analytical skills. Good communication and stakeholder collaboration skills.
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.