AIML Engineer

AI / ML Engineer Intern (Generative AI & Agentic AI) Experience: 0.6 - 2 Years Location: Hyderabad, Pondicherry Job Summary We are seeking a highly motivated AI/ML Engineer with strong hands-on experience in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate should have experience designing, building, and deploying AI-powered applications in production environments. This role requires strong Python programming skills, problem-solving ability, and a passion for building intelligent systems that automate complex workflows and business processes. Key Responsibilities Design, develop, and deploy AI/ML solutions for real-world business problems. Build and optimize Generative AI applications using Large Language Models (LLMs). Develop and maintain Retrieval-Augmented Generation (RAG) pipelines. Design and implement AI Agents and multi-agent workflows using modern agent frameworks. Develop data ingestion, preprocessing, embedding generation, and semantic search solutions. Integrate vector databases and knowledge retrieval systems into AI applications. Fine-tune, evaluate, and monitor machine learning and AI models. Collaborate with product, engineering, and business teams to translate requirements into scalable AI solutions. Implement MLOps best practices for model deployment, monitoring, and lifecycle management. Ensure AI solutions are scalable, reliable, secure, and production-ready. Required Skills AI / ML Strong understanding of Machine Learning and Deep Learning concepts. Hands-on experience with Generative AI and Large Language Models (LLMs). Experience building RAG (Retrieval-Augmented Generation) solutions. Experience with AI Agents and Agentic AI architectures. Knowledge of prompt engineering techniques and LLM optimization. Programming Strong proficiency in Python. Experience with APIs, data processing, and automation workflows. Knowledge of software engineering best practices and version control (Git). AI Frameworks & Tools LangChain LangGraph CrewAI or similar agent frameworks Hugging Face OpenAI APIs or equivalent LLM platforms Vector Databases & Search Pinecone ChromaDB Weaviate FAISS or equivalent technologies Cloud & MLOps Experience with Azure, AWS, or GCP. Understanding of MLOps concepts and model deployment. Exposure to Docker, Kubernetes, CI/CD pipelines, and monitoring tools. Preferred Qualifications Experience deploying AI applications in production environments. Knowledge of NLP, embeddings, semantic search, and information retrieval. Experience with Azure AI Services, AWS Bedrock, or Google Vertex AI. Familiarity with data engineering concepts and scalable data pipelines. Relevant AI/ML certifications are a plus. What We Are Looking For Strong problem-solving and analytical skills. Automation-first mindset. Ability to work independently and take ownership of end-to-end delivery. Quick learner with adaptability to emerging AI technologies. Excellent communication and collaboration skills.