Sales Operations I

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Large Language Model, LLM, AI, deep learning, language models, text understanding, information extraction, classification, generation, prompt engineering, data pipelines, structured data, unstructured data, data ingestion, data preprocessing, anonymization, feature engineering, GenAI, AI frameworks, Docker, automation scripts, Python, object detection, classification, segmentation, multimodal AI, vision-enabled AI, cross-functional collaboration, code versioning, system design, application architecture, maintainability, model performance optimization

Job Summary
The LLM Engineer specializes in building, customizing, and operationalizing Large Language Model (LLM)–based solutions. This role focuses on model selection, fine‑tuning, prompt engineering, retrieval‑augmented generation (RAG), and production deployment of language-based AI systems.

Key Responsibilities
Design, develop, and deploy end‑to‑end AI and LLM‑based solutions, from data preprocessing to model inference and integration.
• Build, train, fine‑tune, and evaluate deep learning and language models for tasks such as text understanding, information extraction, classification, and generation.
• Implement prompt engineering strategies to improve accuracy, relevance, and reliability of LLM outputs.




• Develop and maintain data pipelines for structured and unstructured data ingestion, preprocessing, anonymization, and feature engineering.
• Integrate LLM and GenAI capabilities using contemporary AI frameworks and libraries to support enterprise use cases.
• Build scalable and containerized AI applications using Docker and deploy them in development or production environments.
• Develop automation scripts and backend services using Python and related scripting tools to support AI workflows.
• Design and implement end‑to‑end AI pipelines, including model training, validation, versioning, and deployment.
• Work with object detection, classification, and segmentation models where required to support multimodal or vision‑enabled AI solutions.
• Collaborate with cross‑functional teams to translate business requirements into LLM‑powered applications.
• Ensure code versioning, reproducibility, and collaboration using source control and development best practices.
• Optimize model and application performance with respect to latency, accuracy, and resource usage.
• Follow best practices for system design, application architecture, and maintainability in AI systems.
• Document models, pipelines, prompts, and system be
Skill Requirements
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Other Requirements
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📌 Sales Operations I (Noida)
🏢 HCL Technologies
📍 Noida