Data Engineer(AI, LLM, NLP, MLOps , Python)

Responsibilities: • Design and implement end-to-end AI solutions using LLMs (e.g., GPT-based or open-source models) • Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases • Develop agentic AI systems capable of autonomous reasoning, planning, and task execution • Architect and deliver goal-based AI platforms with full-stack capabilities (frontend, backend, APIs) • Integrate AI models into scalable applications using microservices architecture • Deploy, monitor, and scale AI workloads on AWS (e.g., EC2, S3, Lambda, SageMaker) • Apply NLP techniques for text processing, semantic search, classification, and summarization • Work with vector databases (e.g., Pinecone, FAISS, OpenSearch) • Ensure model performance, reliability, and security in production environments • Collaborate with cross-functional teams including product, data, and DevOps Requirements • 2+ years of experience in AI Engineering, Data Science, Machine Learning, or related fields. • Hands-on experience in Generative AI, • Hands on experience in Large Language Models (LLMs) • Hands on experience in Natural Language Processing (NLP) • Hands on experience in Python • Hands on experience in MLOps • Hands-on experience with cloud platforms such as Azure and AWS. • Experience building full-stack applications using JavaScript, React, APIs, and SQL databases. • Familiarity with Agile methodologies, JIRA. • Experience leading teams and managing stakeholders. • Strong analytical, problem-solving, and communication skills.