Python Developer

Kumaran Systems; Chennai District; On-site; INR 1,200,000 - 2,600,000; Full time

Job summary

Kumaran Systems seeks a skilled Python Developer with exposure to Generative AI and Machine Learning in Chennai. You will work with AI/ML engineers and data scientists to develop, test, and monitor AI-powered solutions.

Responsibilities include building scalable Python applications, integrating GenAI-based solutions, and designing prompt tests. Collaboration with cross-functional teams to optimize model outputs and stay ahead in GenAI techniques is expected.

Qualifications

• 3-5 years of professional experience in Python development.
• Strong Python programming skills and API/service development experience.
• Exposure to Generative AI / Large Language Models (LLMs).
• Hands-on exposure to Prompt Testing / Prompt Evaluation.
• Exposure to AI/ML Model Testing and Evaluation.
• Understanding of Model Drift / Data Drift / Concept Drift.
• Knowledge of REST APIs and third‑party API integrations.
• Good understanding of software development and testing practices.
• Experience with Git/version control.

Responsibilities

• Develop scalable and maintainable applications using Python.
• Build and integrate GenAI/LLM-based solutions into business applications.
• Design and execute prompt testing and evaluation to assess response quality, accuracy, relevance, and consistency.
• Perform model testing and validation across different datasets and use cases.
• Monitor AI/ML models for performance degradation and model drift.
• Define and track relevant metrics for model and GenAI performance.
• Perform functional, regression, and performance testing of AI-powered applications.
• Work with APIs and SDKs for integrating LLMs and AI services.
• Collaborate with cross-functional teams to troubleshoot and improve AI model outputs.
• Develop scripts and automation frameworks using Python for model and prompt evaluation.
• Document test scenarios, evaluation results, model performance, and improvement recommendations.
• Stay updated with emerging GenAI, LLM, prompt engineering, and AI evaluation techniques

Skills

Python development

GenAI / LLMs

Prompt testing / evaluation

AI/ML model testing

Model drift monitoring

REST APIs

Git/version control

API integrations

Job description

We are looking for a skilled Python Developer with exposure to Generative AI and Machine Learning to join our technology team. The ideal candidate should have strong Python development experience along with hands‑on exposure to GenAI applications, prompt testing, model evaluation, and model drift monitoring.

The candidate will work closely with AI/ML engineers, data scientists, and application teams to develop, integrate, test, and monitor AI-powered solutions.

Key Responsibilities

• Develop scalable and maintainable applications using Python.
• Build and integrate Generative AI/LLM‑based solutions into business applications.
• Design and execute prompt testing and evaluation to assess response quality, accuracy, relevance, and consistency.
• Perform model testing and validation across different datasets and use cases.
• Monitor AI/ML models for performance degradation and model drift.
• Define and track relevant metrics for model and GenAI performance.
• Perform functional, regression, and performance testing of AI‑powered applications.
• Work with APIs and SDKs for integrating LLMs and AI services.
• Collaborate with cross‑functional teams to troubleshoot and improve AI model outputs.
• Develop scripts and automation frameworks using Python for model and prompt evaluation.
• Document test scenarios, evaluation results, model performance, and improvement recommendations.
• Stay updated with emerging GenAI, LLM, prompt engineering, and AI evaluation techniques.

Mandatory Skills

• 3-5 years of professional experience in Python development.
• Strong programming skills in Python and experience developing APIs/services.
• Exposure to Generative AI / Large Language Models (LLMs).
• Hands‑on exposure to Prompt Testing / Prompt Evaluation.
• Exposure to AI/ML Model Testing and Evaluation.
• Understanding of Model Drift / Data Drift / Concept Drift.
• Knowledge of REST APIs and third‑party API integrations.
• Good understanding of software development and testing practices.
• Experience with Git/version control.