About the Role :We are expanding our AI team to build, scale and enhance our production-grade AI systems. As an AI Engineer, you will work across the full spectrum of AI - traditional ML, NLP, LLM-powered applications, conversational AI, multimodal AI (text, audio, video), agentic architectures, and evolving AI use cases - with a strong focus on Azure-based deployment.Key Responsibilities :- Design, build, and deploy AI/ML models and applications on Azure (Azure ML, Cognitive Services, AKS, Functions).- Develop and integrate LLM-powered applications (Azure OpenAI, GPT-based APIs, Hugging Face models).- Build and deploy chatbot and conversational AI systems for enterprise productivity, knowledge and information management.- Develop traditional ML models (classification, prediction, recommendation) and combine them with LLM/NLP workflows.- Architect and implement agentic AI systems and orchestration workflows.- Work with vector databases (Pinecone, Weaviate, Milvus, FAISS, Qdrant)



for retrieval-augmented generation (RAG).- Ensure production readiness: CI/CD, monitoring, observability, performance tuning, and cost optimization.Tech Stack & Requirements :- 4 - 10 years in software/AI engineering with solid Python skills.- Hands-on experience with traditional ML techniques, NLP pipelines, and using LLMs via APIs and SDKs.- Familiarity with ML/AI libraries (PyTorch, TensorFlow, Hugging Face, LangChain/LlamaIndex/Semantic Kernel).- Proven track record deploying AI applications on Azure.- Experience with vector databases and embeddings for retrieval.- Exposure to agentic systems and orchestrating multi-step reasoning.- Skilled at building APIs/microservices and integrating AI into enterprise systems.- Familiar with MLOps practices: CI/CD, model lifecycle, monitoring, and scaling. (ref:hirist.tech)

📌 AI Engineer - Azure/LLM (India)
🏢 Collabera Talent Solutions Private
📍 India