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 solid 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.

Job Description

Key Responsibilities
Design and develop scalable, cloud-native applications using Python
Build and maintain APIs and backend services with a robust 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-effective deployments

📌 Analyst, Business Intelligence Chennai
🏢 Nielseniq
📍 Chennai