Analyst, Business Intelligence

Job Description Job Summary We are seeking a highly skilled Python & Generative AI Engineer (6–8 years experience) to design, build, and optimize scalable, cloud-native AI applications. This role blends hands-on development, system design, and applied AI engineering, with a focus on Large Language Models (LLMs) and Small Language Models (SLMs). The ideal candidate is a strong backend engineer with experience in distributed systems and AI-driven applications, capable of owning features end-to-end while contributing to architecture, performance optimization, and model fine-tuning workflows. Key Responsibilities - Design and develop scalable, cloud-native applications using Python - Build and maintain APIs and backend services with a strong focus on performance, reliability, and maintainability. - Performed automated data validation, missing value detection, duplicate analysis, and anomaly detection using Pandas and Polars. - Developed business rule engines to identify KPI deviations, performance gaps, and data quality issues. - Integrated Large Language Models (Azure OpenAI/Llama) to generate executive summaries, business insights, and recommendations. - Develop and integrate Generative AI solutions, including LLM-based applications and prompt engineering techniques. - Contribute to the design of distributed and event-driven systems with high availability. - Collaborate with architects and senior engineers to implement scalable and extensible system designs. - Implement CI/CD pipelines, automated testing, and DevOps best practices. - Leverage AI-assisted development tools (e.g., GitHub Copilot) to improve development efficiency. - Ensure code quality through testing, reviews, and adherence to engineering standards. - Monitor and optimize applications using logging, monitoring, and observability tools. - Work closely with cross-functional teams to deliver AI-powered business solutions. - SLM fine-tuning for edge or cost-efficient deployments