Data Engineer(AI, LLM, NLP, ML, Python, AWS)

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

• 5+ years of experience in Data Analytics.
• Hands-on experience in AI & Machine Learning.
• 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 in RAG.
• Hands-on experience with cloud platforms such as Azure and AWS.
• Experience building full-stack applications using JavaScript, React, APIs, and SQL databases.
• Experience with Agile methodologies, JIRA.
• Experience leading teams and managing stakeholders.
• Strong analytical, problem-solving, and communication skills.