Generative AI Engineer - LLM / Prompt Engineering

Job Summary :

We are seeking a highly skilled and motivated professional with strong expertise in Large Language Models (LLMs), API prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, and fine-tuning models. The ideal candidate should also be proficient in Python, PySpark, SQL, and have hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Familiarity with Snowflake, Databricks, and Informatica is mandatory.

Key Responsibilities :

• Design and build scalable RAG pipelines for intelligent data retrieval and question answering systems.
• Develop and optimize LLM-based applications, including prompt engineering, fine-tuning, and deployment of models.
• Collaborate with data scientists and engineers to integrate LLM APIs and ML models into business workflows.
• Build and manage ETL / ELT pipelines using PySpark, SQL, and Informatica.
• Work with Databricks and Snowflake to manage data pipelines and perform advanced analytics.
• Implement secure, scalable, and cost-effective data solutions on a major cloud platform (AWS, Azure, or GCP).
• Optimize data processing jobs for performance and scalability.

Required Skills and Qualifications :

(ref : hirist.tech)