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.