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.

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Company Intel

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