GenAI Developer

Job Overview

Qloron Technology, a custom software development company with offices in Nagpur, Hyderabad, Bangalore, and Pune, is seeking an experienced AI Engineer specializing in High-Performance Computing (HPC), Apache Spark, Databricks, and Generative AI. The candidate will be responsible for designing and implementing scalable AI and machine learning solutions, optimizing large-scale data workflows, and creating advanced Generative AI applications using Large Language Models (LLMs).

Key Responsibilities

• Design and implement AI and ML solutions tailored for enterprise-scale applications.
• Develop and enhance distributed data processing frameworks leveraging Apache Spark and Databricks technologies.
• Create and deploy Generative AI applications utilizing LLMs such as GPT, Llama, Claude, and Mistral.
• Apply Retrieval-Augmented Generation (RAG) techniques and manage vector databases to improve AI outputs.
• Leverage HPC environments to speed up AI model training and inference tasks.
• Fine-tune foundational AI models to maximize performance in production settings.
• Build scalable data engineering solutions and MLOps pipelines for seamless AI deployment.
• Work closely with data scientists, engineers, and business stakeholders to deliver AI-powered business solutions.
• Continuously monitor and troubleshoot AI systems to ensure optimal performance post-deployment.

Essential Skills and Expertise

• Proficiency in Generative AI and Large Language Models (LLMs), including prompt engineering.
• Experience with RAG frameworks and tools like LangChain and LlamaIndex.
• Strong background in distributed computing environments using Apache Spark (PySpark) and Databricks, including Delta Lake.
• Expertise in data modeling, ETL/ELT pipeline design, SQL and NoSQL databases.
• Advanced programming skills in Python, SQL, and REST API development.
• Knowledge of HPC technologies, including cluster computing, parallel processing, and GPU computing (preferably NVIDIA CUDA).
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Experience with MLOps tools including MLflow, Docker, Kubernetes, continuous integration/delivery (CI/CD) pipelines, and version control with Git.

Eligibility

Candidates must hold a B.Tech or B.E. degree in any specialization to apply.